README.md

# nlp2cmd

3753 functions | 713 classes | 935 files | CC̄ = 5.2

Auto-generated project documentation from source code analysis.

Author: NLP2CMD Team
License: Apache-2.0(LICENSE)
Repository: https://github.com/wronai/nlp2cmd

Installation

From PyPI

pip install nlp2cmd

From Source

git clone https://github.com/wronai/nlp2cmd
cd nlp2cmd
pip install -e .

Optional Extras

pip install nlp2cmd[service]    # service features
pip install nlp2cmd[nlp]    # nlp features
pip install nlp2cmd[llm]    # LLM integration (litellm)
pip install nlp2cmd[router]    # router features
pip install nlp2cmd[sql]    # sql features
pip install nlp2cmd[thermodynamic]    # thermodynamic features
pip install nlp2cmd[browser]    # browser features
pip install nlp2cmd[desktop]    # desktop features
pip install nlp2cmd[automation]    # automation features
pip install nlp2cmd[llm-vision]    # llm-vision features
pip install nlp2cmd[dev]    # development tools
pip install nlp2cmd[all]    # all optional features

Quick Start

CLI Usage

# Generate full documentation for your project
nlp2cmd ./my-project

# Only regenerate README
nlp2cmd ./my-project --readme-only

# Preview what would be generated (no file writes)
nlp2cmd ./my-project --dry-run

# Check documentation health
nlp2cmd check ./my-project

# Sync — regenerate only changed modules
nlp2cmd sync ./my-project

Python API

from nlp2cmd import generate_readme, generate_docs, Code2DocsConfig

# Quick: generate README
generate_readme("./my-project")

# Full: generate all documentation
config = Code2DocsConfig(project_name="mylib", verbose=True)
docs = generate_docs("./my-project", config=config)

Architecture

nlp2cmd/
├── run_test
├── CONTRIBUTING
├── out_call_graph
├── generate_quick
├── test_nlp2cmd_enhanced
├── oferteo_pl_data
├── goal
├── generate_working
├── test_nlp2cmd_commands
├── install_vnc
    ├── llm
├── out_interprocedural_decision_paths
├── manual_appspec
├── code2llm_workaround
├── requirements-minimal
├── planfile
    ├── markdownlint
├── run_all_tests
├── Makefile
├── config
├── docker-compose
├── THERMODYNAMIC_ARCHITECTURE
├── pyqual
├── requirements
├── requirements-enhanced
├── generated_appspec
├── pyproject
├── tree
├── generate_chunks
├── REPO_SPLIT
├── requirements-thermodynamic
├── pytest
├── projektor
├── TODO
├── examples
├── jspaint_app_test4
├── Dockerfile
├── prefact
├── CHANGELOG
├── out_function_entries
├── THERMODYNAMIC_INTEGRATION
├── project
├── INSTALLATION
├── README
    ├── SCHEMA_VALIDATION_REPORT
    ├── README
        ├── SCHEMA_CONSOLIDATION_SUMMARY
        ├── PROJECT_HISTORY
        ├── TEST_SCRIPTS_README
        ├── TODO
        ├── IMPROVEMENTS
        ├── README
        ├── thermodynamic-computing
        ├── KEYWORD_DETECTION_FLOW
        ├── CANVAS_DRAWING
        ├── web-automation
        ├── DESKTOP_GUI_AUTOMATION
        ├── schema-system
        ├── FIREFOX_SESSION_INJECTION
        ├── BENCHMARKING
        ├── STREAM_PROTOCOLS
        ├── SERVICE_MODE
        ├── README
        ├── user-guide
        ├── python-api
        ├── cli-reference
        ├── examples-guide
    ├── index
    ├── nginx
    ├── docker
        ├── appspec
        ├── sensors
        ├── pip
        ├── openssl
        ├── zip
        ├── cp
        ├── git
        ├── find
        ├── sed
        ├── ls
        ├── kubectl
        ├── gpg
        ├── black
        ├── jq
        ├── python3
        ├── cat
        ├── iconv
        ├── split
        ├── ps
        ├── mv
        ├── nslookup
        ├── rsync
        ├── traceroute
        ├── eslint
        ├── psql
        ├── make
        ├── lsof
        ├── df
        ├── grep
        ├── docker
        ├── sort
        ├── pytest
        ├── chmod
        ├── nmap
        ├── tar
        ├── node
        ├── free
        ├── iptables
            ├── appspec
        ├── mysqldump
        ├── mysql
        ├── npm
        ├── ssh-keygen
        ├── mongodump
        ├── rm
            ├── appspec
        ├── netstat
        ├── uptime
        ├── generated_schemas
        ├── all_schemas
        ├── validated_schemas
            ├── batch_3_final
            ├── quick_batch_2_llm
            ├── batch_3_test
            ├── batch_1_detailed
            ├── batch_2_test
            ├── quick_batch_3_llm
            ├── batch_1_test
            ├── quick_batch_1_llm
            ├── generated_docker_dynamic_schema
            ├── generated_kubectl_dynamic_schema
        ├── linux_shortcuts
        ├── windows_shortcuts
        ├── macos_shortcuts
        ├── open_url
        ├── type_text
        ├── search
        ├── navigate
        ├── click
    ├── show_metrics
    ├── _dynamic_orchestrator
    ├── MAKEFILE_PROSTY
    ├── Makefile
    ├── _example_helpers
    ├── _verbose_helper
    ├── demo_screenshot_video
    ├── README_NLP2CMD
    ├── run_examples
    ├── run_task
    ├── README
        ├── README
            ├── example
            ├── README
            ├── manual_appspec
            ├── end_to_end_demo
            ├── mvp
                ├── run
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── simple_schema_demo
            ├── demo_intelligent_nlp2cmd
            ├── demo_persistent_storage
            ├── demo_enhanced
            ├── demo_schema_flow
            ├── demo_version_detection
            ├── schema_flow_demo
            ├── example
            ├── README
        ├── 01_diagnose_credentials_nlp2cmd
        ├── README
            ├── run
            ├── run
            ├── run
            ├── run
            ├── run
            ├── run
        ├── README
            ├── guide
            ├── demo_versioned_schemas
            ├── README
        ├── README
            ├── demo_auto
            ├── demo_batch
            ├── README_WEB_BACKEND
            ├── prompt
            ├── demo
            ├── web_app_example
            ├── nlp2cmd_web_controller
            ├── README
                ├── chat-service-docker-compose
                ├── chat-service-config
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── comparison_demo
            ├── practical_usage
            ├── simple_demo
            ├── README
            ├── usage_example
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── infrastructure_health
            ├── log_analysis
            ├── config_validation
        ├── README
            ├── benchmark_report
            ├── benchmark
            ├── README
            ├── sequential_benchmark_results
            ├── benchmark
        ├── README
            ├── workflows
            ├── advanced
            ├── llm_integration
            ├── example
            ├── README
            ├── example
                        ├── kubectl_dynamic_schema
            ├── generated_appspec
            ├── example
            ├── README
            ├── environment_analysis
            ├── schema_cache
            ├── runtime_schemas
            ├── appspec_cache
            ├── feedback_loop
            ├── 01_basics_shell_nlp2cmd
            ├── generated_shell_dynamic_schema
            ├── example
            ├── README
            ├── generated_shell_appspec
            ├── 01_basics_docker_nlp2cmd
            ├── file_repair
            ├── example
                        ├── appspec
        ├── run
        ├── _run_utils
        ├── ANALYSIS
        ├── CHANGELOG
        ├── README
            ├── run
            ├── README
                ├── 03_adaptive_20260303_143144
                ├── 03_adaptive_20260303_170926
                ├── 03_adaptive_20260303_145342
                ├── 03_adaptive_20260303_171825
                ├── 03_adaptive_20260303_145059
                ├── 03_adaptive_20260303_170902
            ├── run
            ├── README
            ├── run
            ├── README
                ├── 02_picsart_20260303_144722
                ├── 02_picsart_20260303_144922
                ├── 02_picsart_20260303_171011
                ├── 02_picsart_20260303_142942
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── 01_draw_chat_shapes_nlp2cmd
            ├── 02_picsart_painting
            ├── 01_draw_chat_shapes
            ├── 05_autonomous_drawing
            ├── 02_picsart_painting_nlp2cmd
            ├── 03_adaptive_drawing_nlp2cmd
            ├── 04_object_database_drawing
            ├── 03_adaptive_drawing
            ├── run
            ├── README
                ├── 01_draw_chat_20260303_170506
                ├── 01_draw_chat_20260303_170742
                ├── 01_draw_chat_20260303_143953
                ├── 01_draw_chat_20260303_144543
                ├── 01_draw_chat_20260303_171110
                ├── 01_draw_chat_20260303_170840
                ├── 01_draw_chat_20260303_171804
                ├── 01_draw_chat_20260303_144325
                ├── 01_draw_chat_20260303_142823
                ├── 01_draw_chat_20260303_170729
                ├── 01_draw_chat_20260303_142425
                ├── 01_draw_chat_20260303_142636
            ├── run
            ├── README
                ├── validation_star_red
        ├── example_ssh
        ├── example_libvirt
        ├── example_rtsp
        ├── example_multi_stream
        ├── example_http_api
        ├── README
        ├── 04_oferteo_extraction
        ├── 01_screenshot_only
        ├── 03_interactive_mode
        ├── 02_video_only
        ├── 07_batch_multiple
        ├── 05_simple_formfill
        ├── 06_formfill_with_discovery
        ├── README
        ├── terminal_session
        ├── calculator_session
        ├── multi_app_session
        ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
                ├── session
            ├── run
            ├── README
            ├── run
            ├── README
            ├── run
            ├── README
        ├── 03_adaptive_code_nlp2cmd
        ├── 01_codepen_live_nlp2cmd
        ├── 02_mycompiler_run
        ├── 04_jsfiddle_frontend
        ├── 03_adaptive_code
        ├── 02_mycompiler_run_nlp2cmd
        ├── 04_jsfiddle_frontend_nlp2cmd
        ├── 01_codepen_live
        ├── 05_dynamic_executor_nlp2cmd
        ├── 05_dynamic_executor
        ├── README
        ├── benchmark_before
        ├── test_feedback_results
        ├── benchmark_validator
        ├── benchmark_after
        ├── test_results
        ├── demo_validation
        ├── README
        ├── SUMMARY
        ├── api_key_prompts
    ├── 04_domain_specific/
        ├── _demo_helpers
        ├── run_all
        ├── README
            ├── mock_test_polish_llm
            ├── download_bielik
            ├── setup_and_test_bielik
            ├── README
            ├── example_pdf_search
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── example
            ├── example
            ├── example
            ├── dsl_demo
            ├── example
            ├── example
            ├── example
            ├── example
            ├── example
            ├── example
            ├── example
            ├── complete_examples
            ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── commands_demo
            ├── keywords
            ├── generator
            ├── validation_report
            ├── validation
            ├── intents
            ├── simple_demo
            ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
                ├── run
                ├── demo
                ├── README
            ├── example
    ├── llm_benchmark
    ├── thermodynamic_benchmark
    ├── learning_benchmark
    ├── README
    ├── web_schema_test_results
    ├── ci_test_results
    ├── multi_site_test_results
    ├── enhanced_context_test_results
    ├── benchmark_report
    ├── comprehensive_test_results
    ├── sequential_benchmark_results
    ├── generated_commands
    ├── nlp2cmd_monitoring_log
        ├── test_results_with_llm
        ├── test_results_no_llm
        ├── intelligent_nlp2cmd_results
    ├── chciałbym aby moja aplikacja realziowała złożone r
    ├── skąd wziąć dane weektorowej postaci obeiktow jak z
    ├── skad pobrac np 1000 takich obiektow, albo jeden pl
    ├── co można zrobić z tego typu hardkodowanymi zmienny
        ├── pipeline_runner
        ├── pipeline_runner_utils
        ├── schema_driven
        ├── polish_support
        ├── pipeline_runner_desktop
    ├── nlp2cmd/
        ├── optimization_report
        ├── __main__
        ├── appspec_runtime
        ├── pipeline_runner_shell
        ├── pipeline_runner_browser
        ├── evolutionary_orchestrator
        ├── pipeline_runner_plans
        ├── ir
            ├── resources
            ├── token_costs
        ├── monitoring/
        ├── schemas/
            ├── base
            ├── token_extractor
            ├── form_extractor
            ├── page_schema_extractor
        ├── page_schema/
            ├── radio_extractor
            ├── copy_button_extractor
            ├── button_extractor
            ├── action_planner
            ├── drawing_blueprints
            ├── schema_fallback
            ├── complex_planner
            ├── password_store
            ├── feedback_loop
            ├── step_validator
        ├── automation/
            ├── vector_store
            ├── service_configs
            ├── mouse_controller
            ├── shape_planner
            ├── captcha_solver
            ├── firefox_sessions
            ├── env_extractor
            ├── semantic_matcher_optimized
            ├── evolutionary_cache
            ├── train_model
            ├── regex
            ├── fuzzy_schema_matcher
            ├── auto_repair
            ├── thermodynamic
            ├── ml_intent_classifier
            ├── multi_command
            ├── pipeline_components
            ├── complex_detector
            ├── enhanced_context
        ├── generation/
            ├── semantic_entities
            ├── thermodynamic_components
            ├── data_loader
            ├── template_generator
            ├── pipeline
            ├── llm_multi
            ├── validating
            ├── hybrid
            ├── llm_simple
            ├── structured
                ├── generator
                ├── adapter
            ├── schema/
                ├── kubernetes_templates
                ├── rag_templates
                ├── iot_templates
                ├── shell_templates
            ├── templates/
                ├── package_mgmt_templates
                ├── git_templates
                ├── sql_templates
                ├── ffmpeg_templates
                ├── docker_templates
                ├── desktop_templates
                ├── browser_templates
                ├── data_templates
                ├── media_templates
                ├── api_templates
                ├── devops_templates
                ├── remote_templates
                ├── presentation_templates
                ├── keyword_patterns
                ├── keyword_detector
            ├── keywords/
        ├── validators/
            ├── base
            ├── backend_detector
            ├── window_manager
        ├── desktop_executor/
            ├── env_manager
            ├── browser_controller
            ├── keyboard_controller
            ├── desktop_action_executor
            ├── cli
        ├── service/
            ├── docker_app
            ├── base
            ├── vector_planner
            ├── llm_planner
            ├── blueprint_planner
        ├── canvas_planner/
            ├── rule_planner
            ├── orchestrator
            ├── base
            ├── browser_connector
            ├── existing_browser_manager
            ├── token_navigator
        ├── browser_manager/
            ├── cdp_detector
            ├── browser_setup
            ├── step_orchestrator
        ├── plan_execution/
            ├── plan_executor
        ├── planner/
            ├── core_models
        ├── core/
            ├── core_transform
            ├── core_backends
            ├── toon_integration
            ├── config
            ├── normalizer
        ├── nlp/
            ├── intent_matcher
            ├── entity_resolver
        ├── storage/
            ├── per_command_store
            ├── versioned_store
            ├── base
            ├── token_navigator
        ├── browser_token/
            ├── browser_launcher
            ├── hf_token_retriever
            ├── token_prompt_handler
            ├── web_schema
            ├── display
            ├── helpers
            ├── auto_repair
        ├── cli/
            ├── session_logger
            ├── syntax_cache
            ├── markdown_output
            ├── history
            ├── main
            ├── debug_info
            ├── cache
                ├── examples
                ├── tools
                ├── doctor
                ├── interactive
                ├── generate
            ├── commands/
                ├── run
            ├── site_explorer
            ├── form_data_loader
        ├── web_schema/
            ├── extractor
            ├── history
            ├── browser_config
            ├── form_handler
            ├── media_recorder
            ├── base
            ├── runner
            ├── browser
        ├── execution/
            ├── executor_registry
            ├── shell_executor
            ├── base
        ├── exploration/
            ├── disk
            ├── data_tree
            ├── resource_discovery
            ├── service
        ├── aggregator/
        ├── nlp_enhanced/
            ├── engine
            ├── store
            ├── runner
        ├── evolutionary/
            ├── planner
            ├── types
            ├── vision
            ├── validator
            ├── openrouter
        ├── llm/
            ├── router
            ├── repair
            ├── adaptive_learner
            ├── semantic_shell
        ├── nlp_light/
        ├── skills/
                ├── engine
                ├── skill
            ├── search/
                ├── nl_parser
                ├── object_fetcher
                ├── skill
                ├── correction_engine
                ├── commands
                ├── events
                ├── colors
            ├── drawing/
                ├── navigation
                ├── shapes
                ├── text_to_shape
                ├── validation
                ├── queries
                ├── draw_object
                ├── visual_validator
                ├── event_store
                    ├── base
                ├── renderers/
                    ├── playwright
                    ├── svg
        ├── registry/
            ├── energy_models
        ├── thermodynamic/
        ├── executor/
            ├── engine
        ├── orchestration/
            ├── metrics
            ├── handlers
            ├── reflection
            ├── dynamic
            ├── dql
            ├── base
            ├── docker
            ├── browser
        ├── adapters/
            ├── kubernetes
            ├── shell_generators
            ├── sql
            ├── shell
            ├── desktop
            ├── appspec
            ├── canvas
            ├── playwright_installer
            ├── external_cache
        ├── utils/
            ├── yaml_compat
            ├── data_files
        ├── environment/
        ├── context/
            ├── disambiguator
            ├── base
            ├── rdp_stream
            ├── ws_stream
        ├── streams/
            ├── router
            ├── vnc_stream
            ├── ssh_stream
            ├── http_stream
            ├── rtsp_stream
            ├── libvirt_stream
            ├── spice_stream
            ├── ftp_stream
        ├── enhanced/
            ├── toon_parser
        ├── feedback/
        ├── router/
            ├── link_extractor
            ├── base
            ├── field_classifier
        ├── page_analysis/
            ├── iframe_analyzer
            ├── form_analyzer
            ├── page_analyzer
            ├── command_detector
            ├── phrase_database
            ├── multilingual_phrases
            ├── form_data
            ├── shell_execution_policy
            ├── defaults
            ├── patterns
            ├── templates
            ├── router_config
            ├── optimization_schema
            ├── form_schema
            ├── semantic_embeddings
            ├── keyword_intent_detector_config
            ├── expanded_phrases
                ├── selectors
                ├── junk_field_patterns
                ├── contact_paths
                ├── services
                ├── intents
            ├── generator
            ├── adapter
        ├── schema_based/
        ├── history/
            ├── tracker
            ├── python_extractors
            ├── extractors
            ├── registry
            ├── script_extractors
        ├── schema_extraction/
            ├── llm_extractor
            ├── base
            ├── save
            ├── registry
            ├── companies
        ├── dom_actions/
            ├── navigation
            ├── forms
            ├── dispatcher
            ├── interaction
            ├── base
            ├── registry
            ├── drawing
        ├── step_handlers/
            ├── session
            ├── extraction
            ├── navigate
            ├── dispatcher
            ├── dynamic_generator
            ├── command_detector
            ├── version_aware_generator
        ├── cli
        ├── extract
    ├── app2schema/
        ├── __main__
        ├── start-vnc
        ├── docker-compose
        ├── Dockerfile
            ├── demo_desktop_gui
        ├── comprehensive_command_scanner
        ├── non_llm_schema_extractor
        ├── update_schemas
        ├── enhanced_schema_generator
        ├── intelligent_schema_generator
        ├── cmd2schema
        ├── validate_schemas
        ├── intelligent_command_generator
        ├── generate_cmd_from_prompts
        ├── generate_cmd_simple
        ├── analyze_version_detection
        ├── compare_llm
        ├── compare_batches
        ├── quick_test_nlp2cmd
    ├── setup_external
    ├── bump_version
    ├── test_commands_docker
    ├── install_desktop_tools
        ├── termo1
        ├── termo
        ├── termo_demo
        ├── termo2
        ├── implement_core_integration
        ├── implement_high_priority_fixes
        ├── final_analysis_and_next_steps
        ├── refactor_detect_normalized
        ├── refactoring_summary
        ├── restore_system
        ├── apply_polish_integration
        ├── auto_apply_refactors
        ├── cyclomatic_complexity_refactor_report
        ├── apply_nlp2cmd_fixes
        ├── split_pipeline_runner
        ├── apply_refactors_to_source
        ├── llx_refactor
        ├── generate_refactor_report
        ├── refactor_shell_entities
        ├── final_project_summary
        ├── fix_comprehensive_test_issues
        ├── apply_complexity_refactors
        ├── run_e2e_tests
        ├── compare_entity_extractors
    ├── litellm_config
    ├── README
    ├── refactoring_plan
    ├── benchmark_command_errors
    ├── benchmark_results
    ├── learning_benchmark
    ├── phrase_database
    ├── enhanced_domain_patterns
    ├── patterns
    ├── enhanced_intents
    ├── templates
    ├── prompt
    ├── form_schema
    ├── domain_weights
    ├── polish_shell_patterns
    ├── polish_table_mappings
    ├── polish_intent_mappings
        ├── minimize_all
        ├── new_tab
        ├── navigate
        ├── email_check
        ├── close_app
        ├── screenshot
        ├── open_app
        ├── draw
        ├── email_compose
        ├── shapes
        ├── colors
        ├── apps
    ├── analiza_workflow
    ├── capture_script
    ├── compare_screenshots
    ├── test_openrouter_workflow
    ├── analyze_screenshots
    ├── raport_testu

API Overview

Classes

• DynamicOrchestrator — Backward-compatible wrapper around nlp2cmd.orchestration.Orchestrator.
• OutputFormat — Format wyjściowy.
• ExecutionResult — Wynik wykonania.
• ResultAggregator — Agregator wyników.
• RoutingDecision — Decyzja routingu.
• DecisionRouter — Prosty router decyzji.
• ExecutionResult — Wynik wykonania kroku.
• PlanExecutor — Wykonawca planu.
• PlanStep — Pojedynczy krok planu.
• LLMPlanner — Mock LLM Planner.
• IntelligentNLP2CMD — NLP2CMD with automatic version detection and adaptation.
• CommandRequest — —
• CommandResponse — —
• HistoryResponse — —
• ServiceType — Types of services that can be managed.
• ServiceConfig — Configuration for a managed service.
• DeploymentPlan — Plan for deploying services.
• OutputFileManager — Manages saving generated configurations to files.
• DockerManager — Manages Docker Compose operations and container lifecycle.
• NLCommandParser — Parse natural language commands into structured actions.
• NLP2CMDWebController — Main controller for NLP2CMD-powered web infrastructure.
• NLP2CMDWebAPI — Example web API integration for NLP2CMD.
• Service — Konfiguracja pojedynczej usługi.
• DeployCommand — Komenda wdrożenia.
• InfraCommand — Komenda zarządzania infrastrukturą.
• SimpleServiceConfig — Uproszczona konfiguracja usługi.
• DeploymentPlan — Plan wdrożenia wielu usług.
• ServiceType — Typy usług obsługiwanych przez nlp2cmd.
• ServiceConfig — Konfiguracja usługi do wdrożenia.
• OldSystemLoader — Mock old system using separate JSON/YAML files
• SimpleToonParser — Simplified TOON parser for demo
• ToonDemo — Demo class showing TOON usage patterns
• OldSystemLoader — Mock starego systemu używający osobnych plików JSON/YAML.
• MockLLMBackend — Mock LLM backend for demonstration.
• ExampleLogger — Structured logger that writes to both file and console.
• ExampleRunner — Context manager for running drawing examples with full instrumentation.
• Shape2D — Represents a 2D shape with mathematical definition.
• ShapeDatabase — Autonomous shape database with online fetching and caching.
• SceneComposer — Composes multiple objects into a scene with automatic layout.
• BenchmarkCase — A single benchmark test case.
• CaseResult — —
• PromptExample — Single prompt example with expected behavior.
• MockPolishLLMClient — Mock Polish LLM client for testing without actual model.
• MockPolishNLP2CMD — Mock Polish NLP2CMD integration.
• BielikSetup — Automatyczna konfiguracja modelu Bielik.
• PolishPDFSearchLLM — Integracja polskiego LLM do wyszukiwania plików PDF.
• MockPolishPDFSearchLLM — Mock implementation dla demonstracji bez prawdziwego LLM.
• PDFExtractor — Ekstraktor tekstu z PDF.
• PDFExtractor — —
• TextChunker — —
• LLMSearcher — —
• PDFSearchPipeline — Pełny pipeline wyszukiwania w PDF.
• SearchResult — Wynik wyszukiwania.
• ResultsRanker — Ranks and filters search results.
• TextChunker — Dzieli tekst na fragmenty odpowiednie dla LLM.
• LLMSearcher — Wyszukiwanie informacji za pomocą LLM.
• BlastCommand — Komenda BLAST.
• SequenceCommand — Komenda do analizy sekwencji.
• ConversionCommand — Komenda konwersji formatów.
• PipelineStep — Krok w pipeline.
• FileCommand — Komenda przetwarzania plików.
• CommandTest — Test case dla komendy shell.
• ShellCommandValidator — Walidator komend shell.
• FileOperationTest — Test operacji na plikach.
• ValidationResult — Wynik walidacji.
• AdvancedValidator — Zaawansowany walidator komend.
• NetworkCommandTest — Test komendy sieciowej.
• SystemCommandTest — Test komendy systemowej.
• CommandTest — Test case dla komendy shell.
• SimpleTestRunner — Prosty runner testów.
• QueryResult — —
• BenchmarkResults — —
• BenchmarkResult — Result of a benchmark run.
• PipelineRunner — PipelineRunner composed from execution mixins.
• ShellExecutionPolicy — —
• RunnerResult — —
• VideoRecorder — Video recording manager for Playwright browser automation.
• MatchResult — —
• SchemaDrivenNLP2CMD — —
• PolishLanguageSupport — Polish language support for NLP2CMD
• DesktopExecutionMixin — Desktop automation and static utility methods for PipelineRunner.
• AppAction — —
• AppSpec — —
• ShellExecutionMixin — Shell command execution methods for PipelineRunner.
• BrowserExecutionMixin — DOM/browser execution methods for PipelineRunner.
• PlanExecutionMixin — Multi-step ActionPlan execution methods for PipelineRunner.
• ActionIR — —
• ResourceMetrics — Resource consumption metrics.
• ResourceMonitor — Monitor system resource usage during command execution.
• TokenCostEstimate — Token cost estimation based on resource consumption.
• TokenCostEstimator — Converts resource metrics to token equivalents.
• FileFormatSchema — Definition of a file format schema.
• SchemaRegistry — Registry for file format schemas with validation and repair capabilities.
• PageSchema — Schema of actionable elements extracted from a page.
• ExtractorBase — Base protocol for element extractors.
• TokenExtractor — Extract elements that look like API tokens/keys.
• FormExtractor — Extract visible text input fields and textareas.
• PageSchemaExtractor — Extract complete page schema using multiple specialized extractors.
• RadioExtractor — Extract radio button groups (for token type selection, etc.).
• CopyButtonExtractor — Extract buttons likely used to copy tokens to clipboard.
• ButtonExtractor — Extract visible clickable elements (buttons, role=button, etc.).
• ActionStep — Single step in an execution plan.
• ActionPlan — Complete execution plan for a complex command.
• ActionPlanner — Decomposes complex NL commands into ActionPlan via rules or LLM.
• DrawStep — Single drawing step in a blueprint.
• FallbackContext — Context collected when a step fails, used to generate alternatives.
• FallbackResult — Result of a fallback attempt.
• SchemaFallback — Generate alternative action schemas when steps fail.
• ActionStep — Single step in a complex command execution plan.
• ExecutionPlan — Complete execution plan for a complex command.
• ComplexCommandPlanner — Decomposes complex NL commands into executable action plans.
• Credential — Single credential entry.
• FirefoxPasswordReader — Read saved passwords from Firefox profile using NSS library.
• KeePassXCReader — Read passwords from KeePassXC database via CLI.
• BitwardenReader — Read passwords from Bitwarden via CLI.
• EnvPasswordReader — Read credentials from environment variables and .env files.
• SessionPasswordStore — Multi-backend password store with in-memory session cache.
• FailureType — Classification of step failure root cause.
• StepDiagnosis — Result of analyzing a step failure.
• RepairAttempt — Record of a single repair attempt.
• FeedbackResult — Result of the feedback loop for a single step.
• PageAnalyzer — Analyzes page DOM to find correct sections, selectors, and navigation targets.
• FeedbackLoop — Declarative feedback loop for browser automation steps.
• StepMetrics — Metrics collected during step execution.
• ValidationResult — Result of a pre/post condition check.
• StepValidator — Validates pre/post conditions for ActionPlan steps.
• DrawingPattern — A drawing pattern with metadata and steps.
• DrawingVectorStore — Vector database for storing and retrieving drawing patterns.
• Point — 2D point for mouse operations.
• MouseController — Advanced mouse control via Playwright with human-like movements.
• ShapePlanner — Manages a knowledge base of shapes and generates new ones via LLM.
• CaptchaInfo — Detected CAPTCHA information.
• CaptchaSolver — CAPTCHA detection and solving via LLM vision (OpenRouter → Gemini 2.5 Pro).
• FirefoxSessionImporter — Import Firefox sessions into Playwright browser profiles.
• ServiceConfig — Configuration for a known API service.
• EnvExtractor — Extracts API keys from browser sessions and saves to .env files.
• SemanticMatch — Result of semantic matching.
• IntentEmbedding — Stored embedding for an intent phrase.
• OptimizedSemanticMatcher — Optimized semantic similarity matcher using sentence embeddings.
• CacheEntry — —
• LookupResult — —
• EvolutionaryCache — Manages the .nlp2cmd/ learned schema cache.
• ExtractedEntity — A single extracted entity.
• ExtractionResult — Result of entity extraction.
• RegexEntityExtractor — Extract entities from text using regex patterns.
• MatchResult — Result of fuzzy schema matching.
• PhraseSchema — Schema for a phrase with metadata.
• FuzzySchemaMatcherConfig — Configuration for fuzzy matching thresholds.
• FuzzySchemaMatcher — Language-agnostic fuzzy matcher using JSON schemas.
• CommandRepairer — Repairs invalid commands using LLM fallback.
• ThermodynamicGenerator — Generate solutions for optimization problems using Langevin sampling.
• HybridThermodynamicGenerator — Hybrid generator combining rule/LLM-based DSL with thermodynamic optimization.
• SchedulingEnergy — Scheduling energy model for thermodynamic optimization.
• AllocationEnergy — Allocation energy model for thermodynamic optimization.
• RoutingEnergy — Routing energy model for thermodynamic optimization.
• IntentPrediction — Result of intent classification.
• TrainingSample — Single training sample.
• MLIntentClassifier — Fast ML-based intent classifier using TF-IDF + SVM.
• MultiCommandResult — Result of multi-command detection.
• MultiCommandDetector — Utility class to detect multiple commands in one input.
• SimpleExecutionPlan — Simple execution plan for adapters.
• PipelineResult — Result of the complete pipeline.
• PipelineMetrics — Track pipeline metrics for evaluation.
• ComplexityAnalysis — Result of multi-step complexity analysis.
• ComplexQueryDetector — Detects multi-step commands BEFORE the keyword detection pipeline.
• ContextualMatch — Enhanced match with semantic similarity.
• EnhancedContextDetector — Enhanced context detection using multiple NLP approaches.
• SemanticEntityExtractor — —
• OptimizationProblem — Structured optimization problem definition.
• ThermodynamicResult — Result of thermodynamic optimization.
• ThermodynamicProblemDetector — Detects optimization problems in natural language.
• ThermodynamicConfig — Configuration for thermodynamic optimization.
• PhraseEntry — Single phrase entry for intent matching.
• PhraseDatabase — Collection of phrase entries with metadata.
• DataLoader — Optimized data loader with format detection and caching.
• TemplateResult — Result of template generation.
• TemplateGenerator — Generate DSL commands from templates.
• RuleBasedPipeline — Complete rule-based NL → DSL pipeline.
• RoutingResult — Result of domain routing.
• LLMDomainRouter — Route queries to correct domain using LLM classification.
• MultiDomainResult — Result of multi-domain generation.
• MultiDomainGenerator — Generate DSL for any domain using LLM routing.
• CachedMultiDomainGenerator — Multi-domain generator with response caching.
• DSLValidator — Protocol for DSL validators.
• ValidationResult — Result of DSL validation.
• ValidatingGeneratorResult — Result of validated generation.
• ValidatingGenerator — Generate DSL with validation and self-correction.
• SimpleSQLValidator — Simple SQL syntax validator.
• SimpleShellValidator — Simple shell command validator.
• SimpleDockerValidator — Simple Docker command validator.
• SimpleKubernetesValidator — Simple Kubernetes command validator.
• HybridResult — Result of hybrid generation.
• HybridStats — Statistics for hybrid generator.
• HybridGenerator — Use rules first, LLM as fallback.
• AdaptiveHybridGenerator — Hybrid generator with adaptive threshold.
• LLMClient — Protocol for LLM client implementations.
• LiteLLMClient — —
• LLMConfig — Configuration for LLM generators.
• LLMGenerationResult — Result of LLM generation.
• BaseLLMGenerator — Base class for LLM-based DSL generators.
• SimpleLLMSQLGenerator — LLM-based SQL generation - single domain first.
• SimpleLLMShellGenerator — LLM-based Shell command generation.
• SimpleLLMDockerGenerator — LLM-based Docker command generation.
• SimpleLLMKubernetesGenerator — LLM-based Kubernetes command generation.
• MockLLMClient — Mock LLM client for testing.
• StructuredPlan — Structured execution plan from LLM.
• StructuredPlanResult — Result of structured planning.
• StructuredLLMPlanner — LLM with enforced JSON output schema.
• MultiStepPlan — Multi-step execution plan.
• MultiStepPlanner — Iteration 8: Multi-Step Plans.
• SchemaBasedGenerator — Generates commands using schemas instead of templates.
• SchemaRegistry — Registry for managing and improving schemas.
• SchemaDrivenAppSpecAdapter — AppSpec adapter that uses schema-based generation.
• KeywordPatterns — Manages keyword patterns for intent detection.
• DetectionResult — Result of intent detection.
• KeywordIntentDetector — Rule-based intent detection using keyword matching.
• ValidationResult — Result of a validation operation.
• BaseValidator — Abstract base class for validators.
• SyntaxValidator — Generic syntax validator for balanced brackets, quotes, etc.
• SQLValidator — SQL-specific validator.
• ShellValidator — Shell command validator.
• DockerValidator — Docker command and Dockerfile validator.
• KubernetesValidator — Kubernetes command and manifest validator.
• CompositeValidator — Combines multiple validators.
• DesktopBackend — Available desktop automation backends.
• ActionStatus — Status of action execution.
• ActionResult — Result of action execution.
• ExecutionConfig — Configuration for desktop execution.
• BackendDetector — Detect available desktop automation backends.
• WindowManager — Manage application windows via desktop automation tools.
• EnvManager — Manage environment variables and .env files.
• BrowserController — Control Firefox browser via command-line interface.
• KeyboardController — Send keyboard input via desktop automation tools.
• DesktopActionExecutor — Main orchestrator for executing desktop automation actions.
• ServiceConfig — Configuration for NLP2CMD service.
• QueryRequest — Request model for query endpoint.
• QueryResponse — Response model for query endpoint.
• NLP2CMDService — NLP2CMD HTTP API Service.
• CanvasPlanResult — Result of canvas planning.
• CanvasPlannerBase — Base class for canvas planners.
• VectorDBPlanner — Searches vector database for semantically similar drawing patterns.
• LLMCanvasPlanner — Generates drawing plans using LLM for arbitrary objects.
• BlueprintPlanner — Uses rich drawing blueprints (SVG paths, polygons, beziers).
• RuleBasedCanvasPlanner — Generates drawing plans using hardcoded shape rules.
• CanvasPlanningOrchestrator — Orchestrates multiple canvas planners in priority order.
• ConnectionStatus — Status of browser connection attempt.
• BrowserConfig — Configuration for browser connection.
• BrowserConnectionResult — Result of browser connection attempt.
• BrowserConnector — Connect to browsers via Playwright CDP protocol.
• ExistingBrowserManager — Orchestrator for connecting to existing browser via CDP.
• NavigationStatus — Status of navigation attempt.
• TokenNavigator — Navigate to HuggingFace token settings page.
• CdpDetector — Detect and verify CDP ports for browser connections.
• BrowserContextOptions — Options for browser context creation.
• BrowserSetup — Handles browser setup, session management, and context creation.
• StepResult — Result of executing a single step.
• StepOrchestrator — Orchestrates step execution with validation, fallback, and retry.
• PlanExecutor — Main executor for ActionPlans with browser automation.
• PlannerConfig — Configuration for LLM Planner.
• PlanningResult — Result of plan generation.
• LLMPlanner — Generates execution plans using LLM.
• TransformStatus — Status of a transformation operation.
• Intent — Represents a detected intent from natural language input.
• Entity — Represents an extracted entity from natural language input.
• ExecutionPlan — Structured plan for command execution.
• TransformResult — Result of a natural language to command transformation.
• NLP2CMD — Main class for Natural Language to Command transformation.
• NLPBackend — Base class for NLP processing backends.
• SpaCyBackend — spaCy-based NLP backend.
• LLMBackend — LLM-based NLP backend (Claude, GPT, etc.).
• RuleBasedBackend — Simple rule-based NLP backend for basic pattern matching.
• ToonDataManager — Unified data manager using TOON format
• ServiceConfig — Configuration for a known API service (mirrors env_extractor.ServiceConfig).
• ServiceRegistry — Loads and serves service configurations from services.yaml.
• IntentConfig — Configuration for a single intent under a domain.
• IntentRegistry — Loads and serves intent configurations from intents.yaml.
• NormalizedQuery — Immutable result of normalizing a raw user query.
• QueryNormalizer — Normalize a raw user query into a NormalizedQuery.
• IntentDef — Intent definition loaded from YAML.
• IntentMatch — Result of intent matching.
• IntentMatcher — Multilingual intent matcher backed by YAML definitions.
• AppInfo — Application info loaded from apps.yaml.
• EntityResolver — Multilingual entity resolver backed by YAML data files.
• PerCommandSchemaStore — Stores each command schema in its own file.
• VersionedSchemaStore — Extended schema store that supports versioning.
• BrowserTokenResult — Result of browser token retrieval attempt.
• TokenConfig — Configuration for token retrieval.
• NavigationStatus — Status of navigation attempt.
• TokenNavigator — Navigate to token pages with URL verification.
• BrowserLauncher — Launch browser with automatic fallback from Firefox to Chromium.
• HFTokenRetriever — Main orchestrator for retrieving HuggingFace tokens via browser.
• TokenPromptHandler — Handle interactive prompts for token input.
• ErrorCategory — Categories of errors that Doctor can handle.
• RepairResult — Result of auto-repair attempt.
• AutoRepairSystem — Automatic error diagnosis and repair system.
• SessionLogger — Logs automation sessions to Markdown with inline base64 screenshots.
• SyntaxCache — Cache for Rich Syntax objects to improve performance.
• MarkdownConsoleProxy — Proxy that forces all console.print output into markdown code blocks.
• MarkdownBlockStream — Context manager that streams multiple prints inside a single Markdown block.
• ExampleScenario — Definition of an example scenario.
• ExamplesRegistry — Registry of all available example scenarios.
• ExamplesRunner — Runner for example scenarios with preconfiguration.
• Status — —
• CheckResult — —
• NP2CMDDoctor — System diagnostic and auto-repair for nlp2cmd.
• InteractiveSession — Interactive REPL session with feedback loop.
• PageInfo — Information about a discovered page.
• ExplorationResult — Result of site exploration.
• SiteExplorer — Explores website to find forms, contact pages, and other content.
• FormDataLoader — Loads form field data from multiple sources:
• WebElement — Represents an interactive element on a web page.
• WebPageSchema — Schema for a web page.
• WebSchemaExtractor — Extract schema from web pages using Playwright.
• InteractionRecord — Record of a single browser interaction.
• InteractionHistory — Tracks and learns from browser interactions.
• BrowserConfigLoader — Single source of truth for browser automation config.
• DynamicSelectorGenerator — Generate selectors dynamically using LLM when static ones fail.
• FormField — Represents a form field.
• FormData — Collected form data.
• FormHandler — Handles form detection and interactive filling.
• MediaRecorder — Manages video recording and screenshots during browser sessions.
• ExecutorResult — Unified result from any executor.
• ExecutorContext — Shared context passed to executors.
• BaseExecutor — Abstract base for all executors.
• ExecutionResult — Result of command execution.
• RecoveryContext — Context for LLM-assisted error recovery.
• ExecutionRunner — Execute commands with logging, error handling, and LLM-assisted recovery.
• BrowserResult — Result of a browser automation action.
• BrowserExecutor — Execute browser automation commands.
• ExecutorRegistry — Central registry that maps action names to executor instances.
• ShellExecutor — Execute shell commands with safety checks and error recovery.
• ExplorationResult — Result of exploration in any space.
• ExplorationContext — Context for exploration - what we're looking for.
• BaseExplorer — Abstract base class for all explorers.
• ExplorerRegistry — Registry of available explorers.
• FileInfo — Information about a file or directory.
• DiskExplorer — Explorer for file systems and disk content.
• DataNode — A node in a data tree.
• DataMatch — A match in data exploration.
• DataTreeExplorer — Explorer for nested data structures (JSON, dicts, etc.).
• MissingResource — Information about a missing resource.
• DiscoveryDecision — Decision about whether to attempt discovery or fail.
• ResourceDiscoveryManager — Manages automatic resource discovery during command execution.
• EndpointInfo — Information about an API endpoint.
• ServiceInfo — Information about a service.
• ServiceExplorer — Explorer for REST APIs, GraphQL, and other services.
• OutputFormat — Output format types.
• AggregatedResult — Aggregated result from plan execution.
• ResultAggregator — Aggregates and formats execution results.
• ShellGPTBackend — NLP backend that uses shell-gpt for intelligent command generation.
• HybridNLPBackend — Hybrid NLP backend that combines multiple approaches.
• EvolutionaryRecoveryEngine — Silnik ewolucyjnych napraw - uczy się z każdej sytuacji.
• EvolutionaryKnowledgeStore — Stores and persists learning data for recovery attempts.
• AutonomousExampleRunner — Autonomiczny runner z evolutionary recovery.
• EvolutionaryRecoveryPlanner — Chooses and executes recovery strategies.
• RecoveryStrategy — Strategie naprawy - rozszerzalne i ewolucyjne.
• RecoveryAttempt — Pojedyncza próba naprawy.
• ExecutionMetrics — Metryki wykonania - dla ciągłego doskonalenia.
• VisionResult — Result of a vision analysis.
• VisionAnalyzer — High-level vision analysis using LLM.
• ValidationVerdict — Result from LLM validator.
• LLMValidator — Validates command output against user intent using a local Ollama model.
• LLMResponse — Response from OpenRouter API.
• OpenRouterClient — OpenRouter API client with text and vision support.
• RouterResponse — Unified response from LLM Router.
• ModelHealth — Health status of a model deployment.
• LLMRouter — Smart LLM Router with multi-model support, fallbacks, and task specialization.
• RepairResult — Result from LLM repair.
• LLMRepair — Repairs failed commands and optionally patches data files using OpenRouter.
• ErrorPattern — Classified error pattern from LLM failures.
• ModelPerformance — Tracks performance metrics for a model on a specific task.
• LearnedRule — A routing rule learned from experience.
• AdaptiveLearner — Adaptive learning system for LLM routing.
• SemanticShellBackend — —
• SearchResult — Single search result.
• SearchConfig — Configuration for search engine.
• SearchEngine — Open source search engine aggregator.
• SearchContext — Context for search operations.
• SearchSkill — High-level search skill for nlp2cmd.
• NLDrawingParser — Parse natural language drawing instructions into DrawCommand sequences.
• FetchedShape — Shape data retrieved from an external database.
• SimpleIconsFetcher — Fetch SVG icons from Simple Icons (simpleicons.org).
• IconifyFetcher — Fetch icons from Iconify API (api.iconify.design).
• SVGRepoFetcher — Search and fetch from SVG Repo (svgrepo.com).
• ObjectFetcher — Autonomous shape fetcher with multi-database search and local caching.
• DrawingSkill — Facade for the drawing skill — single entry point for all drawing operations.
• CorrectionStep — A single step in a correction plan.
• CorrectionPlan — Plan of steps to correct a drawing.
• CorrectionResult — Result of applying corrections.
• CorrectionEngine — Iterative correction engine for drawing repair.
• AutonomousDrawingPipeline — Full autonomous drawing pipeline: draw → validate → correct → repeat.
• DrawCommand — Abstract base for all drawing commands.
• InitCanvas — Initialize a drawing canvas.
• DrawShape — Draw a shape on the canvas.
• SetColor — Change the active drawing color.
• SelectTool — Select a drawing tool.
• ClearCanvas — Clear the entire canvas.
• CommandHandler — Protocol for command handlers.
• CommandBus — Dispatches commands to handlers, validates, and emits events.
• EventType — —
• DrawingEvent — Base immutable event — all drawing events inherit from this.
• CanvasInitialized — Fired when a canvas is created or discovered.
• CanvasCleared — Fired when the canvas is cleared.
• ShapeDrawn — Fired when a shape is drawn on the canvas.
• ColorChanged — Fired when the active drawing color is changed.
• ToolSelected — Fired when a drawing tool is selected.
• ColorResolver — Resolves color names to hex codes with Polish + English support.
• NavigationState — State of the navigation process.
• CanvasInfo — Information about the discovered canvas.
• NavigationStep — A single step in the navigation process.
• NavigationResult — Full result of the navigation process.
• DrawNavigationSkill — Vision-guided navigation to drawing canvas.
• ShapeGenerator — Abstract shape generator — one responsibility: produce point groups.
• CircleGenerator — —
• EllipseGenerator — —
• RectangleGenerator — —
• SquareGenerator — —
• TriangleGenerator — —
• StarGenerator — —
• HeartGenerator — —
• SpiralGenerator — —
• HouseGenerator — —
• FlowerGenerator — —
• SunGenerator — —
• TreeGenerator — —
• LineGenerator — —
• DotGenerator — —
• GridGenerator — —
• WaveGenerator — —
• CarGenerator — —
• BirdGenerator — —
• ButterflyGenerator — —
• BoatGenerator — —
• MountainGenerator — —
• CatGenerator — —
• FishGenerator — —
• RocketGenerator — —
• CastleGenerator — —
• DiamondGenerator — —
• ArrowGenerator — —
• PentagonGenerator — —
• HexagonGenerator — —
• OctagonGenerator — —
• CrossGenerator — —
• CrescentGenerator — —
• CloudDetailedGenerator — —
• ShapeRegistry — Registry of all available shape generators.
• GeneratedShape — Result of LLM shape generation.
• DynamicShapeGenerator — ShapeGenerator created from LLM-generated or fetched point data.
• TextToShapeEngine — Generates 2D shapes from text descriptions using LLM.
• ObjectStatus — Status of a single requested object.
• ObjectAssessment — Vision assessment of a single requested object.
• TaskPlan — What the user wants drawn — the reference for validation.
• ValidationReport — Full validation report: what's done, what remains, what's wrong.
• DrawValidationSkill — Task-aware drawing validation using Qwen VL.
• DrawQuery — Abstract base for all drawing queries.
• GetCanvasState — Reconstruct current canvas state from events.
• GetDrawingHistory — Get the full drawing history as a list of event summaries.
• GetShapePoints — Get all shape point groups from drawn shapes (for rendering).
• GetLastNShapes — Get the last N drawn shapes.
• QueryBus — Dispatches queries against the event store.
• DrawStatus — Status of a single object draw operation.
• ObjectDrawResult — Result of drawing a single object.
• SceneDrawResult — Result of drawing multiple objects (a scene).
• DrawObjectSkill — Resolve and draw shapes with vision verification.
• ValidationVerdict — Result of visual validation.
• DrawingCorrection — A single correction to apply to the drawing.
• ValidationResult — Full result of visual validation.
• VisualValidator — Validates drawings using vision LLM models.
• EventStore — Append-only event store with optional persistence and subscriber support.
• Renderer — Abstract renderer interface.
• PlaywrightRenderer — Render drawings on a browser canvas via Playwright mouse control.
• SVGRenderer — Render drawings as SVG markup.
• ParamType — Parameter types for action validation.
• ParamSchema — Schema for an action parameter.
• ActionSchema — Schema definition for an action.
• ActionResult — Result of action execution.
• ActionHandler — Base class for action handlers.
• ActionRegistry — Central registry for all system actions.
• Task — Represents a task to be scheduled.
• Resource — Represents a resource with capacity.
• SchedulingEnergy — Energy model for scheduling problems.
• AllocationEnergy — Energy model for resource allocation problems.
• RoutingEnergy — Energy model for routing problems (TSP, VRP).
• CSPEnergy — Generic Constraint Satisfaction Problem energy model.
• LangevinConfig — Configuration for Langevin dynamics sampler.
• SamplerResult — Result from Langevin sampling.
• EnergyModel — Abstract base class for energy models.
• QuadraticEnergy — Simple quadratic energy for testing: V(z) = 0.5 * ||z - target||²
• ConstraintEnergy — Energy model for constraint satisfaction problems.
• LangevinSampler — Thermodynamic sampler using overdamped Langevin dynamics.
• EntropyProductionRegularizer — Regularizer based on Whitelam's principle:
• MajorityVoter — Select best sample from multiple candidates.
• ThermodynamicRouter — Routes problems to appropriate solver:
• EnergyEstimator — Estimate computational energy consumption.
• StepStatus — Status of a plan step.
• PlanStep — A single step in an execution plan.
• StepResult — Result of executing a single step.
• ExecutionPlan — Multi-step execution plan.
• ExecutionContext — Context for plan execution.
• ExecutionResult — Result of executing a complete plan.
• PlanValidator — Validates execution plans against action registry.
• PlanExecutor — Executes multi-step plans.
• StepStatus — —
• StepDef — Definition of a single orchestration step.
• StepResult — Result of executing a single step.
• TaskSchema — LLM-generated execution plan — a dynamic schema for the task.
• TaskResult — Final result of orchestrated task execution.
• Orchestrator — LLM-driven orchestration engine with reflection.
• StepMetric — Metrics for a single orchestration step.
• TaskMetric — Metrics for a complete orchestrated task.
• LearnedPath — A successful decision path that can be reused for similar goals.
• GeneratedFunction — A generated JS or Python function cached for reuse.
• MetricsCollector — Collects and persists orchestration metrics.
• PathOptimizer — Stores successful decision paths for reuse on similar goals.
• FunctionCache — Caches auto-generated JS and Python functions in .nlp2cmd/generated/.
• ReflectionVerdict — Outcome of result analysis.
• ReflectionResult — Result of LLM-driven reflection on execution output.
• ResultAnalyzer — Analyzes execution results using LLM for intelligent reflection.
• DynamicSafetyPolicy — Enhanced safety policy that adapts based on extracted schemas.
• DynamicAdapter — Dynamic adapter that uses extracted schemas instead of hardcoded patterns.
• DQLSafetyPolicy — DQL-specific safety policy.
• EntityContext — Doctrine entity context.
• DQLAdapter — DQL adapter for Doctrine ORM queries.
• SafetyPolicy — Base safety policy configuration.
• AdapterConfig — Configuration for DSL adapters.
• BaseDSLAdapter — Abstract base class for Domain-Specific Language adapters.
• DockerSafetyPolicy — Docker-specific safety policy.
• ComposeContext — Docker Compose context.
• DockerAdapter — Docker adapter for CLI and Compose operations.
• BrowserSafetyPolicy — —
• BrowserAdapter — Minimal adapter that turns NL into dom_dql.v1 navigation (Playwright).
• KubernetesSafetyPolicy — Kubernetes-specific safety policy.
• ClusterContext — Kubernetes cluster context.
• KubernetesAdapter — Kubernetes adapter for kubectl commands and manifests.
• FileOperationGenerator — Generator for file operations.
• ProcessManagementGenerator — Generator for process management commands.
• NetworkGenerator — Generator for network commands.
• SystemMaintenanceGenerator — Generator for system maintenance commands.
• DevelopmentGenerator — Generator for development commands.
• GitGenerator — Generator for git commands.
• DockerGenerator — Generator for docker commands.
• TextProcessingGenerator — Generator for text processing commands.
• SQLSafetyPolicy — SQL-specific safety policy.
• SchemaContext — Database schema context for SQL generation.
• SQLAdapter — SQL adapter supporting multiple database dialects.
• ShellSafetyPolicy — Shell-specific safety policy.
• EnvironmentContext — System environment context.
• ShellAdapter — Shell adapter supporting multiple shell types.
• DesktopAction — Structured desktop automation action.
• DesktopSafetyPolicy — Safety policy for desktop GUI automation.
• DesktopAdapter — Adapter for desktop GUI automation via VNC/noVNC + xdotool/wmctrl.
• AppSpecAdapterConfig — —
• AppSpecAdapter — —
• DrawingStep — Single step in a drawing plan.
• DrawingPlan — Complete drawing plan for canvas operations.
• CanvasSafetyPolicy — Safety policy for canvas operations — generally safe.
• CanvasAdapter — Adapter for canvas-based drawing via Playwright mouse control.
• ExternalCacheManager — Manages caching of external dependencies like Playwright browsers.
• ToolInfo — Information about an installed tool.
• ServiceInfo — Information about a running service.
• EnvironmentReport — Complete environment analysis report.
• EnvironmentAnalyzer — Analyzes the system environment for available tools, services,
• DisambiguationResult — Result of disambiguation process.
• CommandDisambiguator — Disambiguates commands using history context.
• StreamResult — Result of a stream operation.
• SourceURI — Parsed --source URI.
• StreamAdapter — Base class for all stream protocol handlers.
• RDPStreamAdapter — —
• WSStreamAdapter — —
• StreamRouter — Routes --source URIs to the correct protocol handler.
• VNCStreamAdapter — —
• SSHStreamAdapter — —
• HTTPStreamAdapter — —
• RTSPStreamAdapter — Analyze RTSP video streams — colors, motion, objects.
• LibvirtStreamAdapter — Manage VMs via libvirt and control their desktops via SPICE/VNC.
• SPICEStreamAdapter — —
• FTPStreamAdapter — —
• EnhancedNLP2CMD — Enhanced NLP2CMD with dynamic schema capabilities.
• ToonNodeType — TOON node types
• ToonNode — TOON node structure
• ToonParser — Unified TOON format parser with hierarchical access
• FeedbackType — Types of feedback from the system.
• FeedbackResult — Result of feedback analysis.
• CorrectionRule — Rule for automatic correction.
• FeedbackAnalyzer — Analyzes transformation results and provides feedback.
• CorrectionEngine — Engine for applying corrections to generated content.
• RoutingDecision — Routing decision types.
• RoutingResult — Result of routing decision.
• RouterConfig — Configuration for Decision Router.
• DecisionRouter — Routes incoming requests to appropriate processing path.
• LinkExtractor — Extract and normalize links from page.
• FieldInfo — Information about a form field.
• PageAnalysisResult — Result of page analysis.
• FieldClassifier — Classify form fields as contact-like or junk (search, cookie, etc.).
• IframeAnalyzer — Analyze iframes for embedded forms (common for contact widgets).
• FormAnalyzer — Analyze page for forms and form fields.
• PageAnalyzer — Main orchestrator for page analysis.
• SchemaUsage — Record of schema usage.
• CommandRecord — Record of a command execution.
• CommandHistory — Unified command history tracker.
• PythonCodeExtractor — Extract command schemas from Python source code with decorators.
• ClickExtractor — Specialized extractor for Click applications.
• CommandParameter — Represents a command parameter extracted from schema.
• CommandSchema — Dynamic command schema extracted from various sources.
• ExtractedSchema — Container for extracted schemas from a source.
• OpenAPISchemaExtractor — Extract command schemas from OpenAPI/Swagger specifications.
• ShellHelpExtractor — Extract command schemas from shell help output.
• SchemaRegistry — Registry for managing dynamically extracted schemas.
• ShellScriptExtractor — Extract schema from a shell script file using shlex/regex heuristics.
• MakefileExtractor — Extract schema from Makefile targets and variables.
• LLMSchemaExtractor — Extract command schemas using LLM assistance.
• ActionContext — Context passed to DOM action handlers.
• ActionResult — Result from a DOM action handler.
• DomAction — Base class for DOM action handlers.
• SaveToFileAction — Save extracted data to a text file.
• SaveToCsvAction — Save extracted data to a CSV file.
• ActionRegistry — Registry mapping action names to their handlers.
• ExtractCompaniesAction — Extract company information from catalog pages.
• NavigateAction — Navigate to a URL.
• ExploreForContentAction — Explore site to find content.
• ExploreForFormAction — Explore site to find forms.
• FillFormAction — Fill form fields automatically from .env and data files.
• ActionDispatcher — Dispatches DOM actions to appropriate handlers.
• ClickHandler — Handle click action with retry logic for detached elements.
• ClickRadioHandler — Handle click_radio action for radio button selection.
• DismissOverlayHandler — Handle dismiss_overlay action for cookie banners and dialogs.
• TypeTextHandler — Handle type_text action with fallback selectors.
• FillFormHandler — Handle fill_form action for multiple fields.
• SubmitFormHandler — Handle submit_form action.
• LoginHandler — Handle login action with email and password.
• NewTabHandler — Handle new_tab action.
• WaitHandler — Handle wait action.
• ScreenshotHandler — Handle screenshot action.
• HandlerContext — Context passed to step handlers during execution.
• HandlerResult — Result from a step handler execution.
• StepHandler — Base class for plan step handlers.
• HandlerRegistry — Registry mapping action names to their handlers.
• CanvasMixin — Mixin providing canvas selection logic.
• WaitForCanvasHandler — Wait for canvas element to appear.
• GetCanvasCenterHandler — Get canvas center coordinates.
• SelectToolHandler — Select a drawing tool.
• SetColorHandler — Set foreground color for drawing.
• SetLineWidthHandler — Set line width for drawing.
• DrawCircleHandler — Draw a circle on canvas.
• DrawFilledCircleHandler — Draw a filled circle on canvas with verification.
• DrawFilledEllipseHandler — Draw a filled ellipse on canvas.
• DrawFilledRectangleHandler — Draw a filled rectangle on canvas.
• DrawRectangleHandler — Draw a rectangle on canvas.
• DrawLineHandler — Draw a line on canvas with simple pixel verification.
• DrawEllipseHandler — Draw an ellipse outline on canvas.
• DrawArcHandler — Draw an arc on canvas.
• DrawPolygonHandler — Draw a polygon on canvas.
• DrawBezierHandler — Draw a bezier path on canvas.
• DrawSvgPathHandler — Draw an SVG path on canvas.
• FillAtHandler — Click/fill at the current canvas offset.
• ClickCanvasHandler — Click the canvas at an offset.
• CheckSessionHandler — Check if user is logged into a service with auto-login via password store.
• SubmitAndExtractKeyHandler — Submit form and poll for API key extraction.
• DiscoverServiceSectionHandler — Discover service section (e.g., API keys page) by link discovery.
• ExtractKeyHandler — Extract API key from page DOM and clipboard.
• ExtractApiKeyHandler — Disabled safety-only alias for API key extraction.
• CheckClipboardHandler — Validate clipboard content against key pattern.
• SaveEnvHandler — Save value to .env file.
• VerifyEnvHandler — Verify that env var was saved to .env file.
• PromptSecretHandler — Prompt user for secret/API key with timeout and validation.
• EchoHandler — Echo a message to the console.
• ExtractTextHandler — Extract text from page elements.
• NavigateHandler — Handle navigate action - navigate to URL with security checkup handling.
• StepDispatcher — Dispatches plan steps to appropriate handlers.
• DynamicSchemaGenerator — Generates schemas dynamically without hardcoding.
• CommandMatch — Represents a matched command with confidence.
• CommandDetector — Detects shell commands from natural language descriptions.
• VersionAwareCommandGenerator — Generates commands with automatic version detection.
• App2SchemaResult — —
• OptionType — Types of command options.
• ParsedOption — Parsed command option.
• ComprehensiveCommandScanner — Scanner that extracts ALL command options.
• NonLLMStrategy — Available non-LLM strategies.
• SchemaQuality — Schema quality metrics.
• NonLLMSchemaExtractor — Non-LLM schema extractor with multiple strategies.
• ExtractionStrategy — Available extraction strategies.
• ExtractionResult — Result of schema extraction.
• EnhancedSchemaExtractor — Enhanced schema extractor with multiple strategies.
• CommandInfo — Information about a command.
• IntelligentSchemaExtractor — Extracts schemas using intelligent analysis instead of hardcoded keywords.
• CommandSchemaGenerator — Generate schemas for command-line tools.
• GenerationMethod — Available generation methods.
• GenerationResult — Result of command generation.
• IntelligentCommandGenerator — Intelligent command generator with adaptive strategies.
• CommandGenerator — Generate commands from prompts using NLP2CMD.
• HyperparameterSpace — Przestrzeń hiperparametrów do optymalizacji.
• HyperparameterOptimizer — Optymalizator hiperparametrów używający Langevin sampling.
• DeliveryPoint — Punkt dostawy.
• VRPSolver — Solver dla Vehicle Routing Problem.
• Surgery — Operacja do zaplanowania.
• OperatingRoom — Sala operacyjna.
• ORScheduler — Scheduler dla sal operacyjnych.
• PowerPlant — Elektrownia.
• UnitCommitmentSolver — Solver dla problemu Unit Commitment.
• GenomicSample — Próbka genomowa do analizy.
• PipelineStep — Krok w pipeline genomicznym.
• GenomicPipelineScheduler — Scheduler dla pipeline'u analizy genomowej.
• CoreIntegrator — Integrates Polish language support with NLP2CMD core system
• HighPriorityFixer — Implements high priority fixes for NLP2CMD system
• FinalAnalyzer — Analyzes the complete fix implementation and provides next steps
• ProjectSummary — Generates final project summary
• ComprehensiveTestFixer — Analyzes and fixes issues in comprehensive test results
• SimpleE2ETester — Simple E2E test runner for NLP2CMD service.

Functions

• print_status() — —
• print_success() — —
• print_warning() — —
• print_error() — —
• print_header() — —
• check_nlp2cmd() — —
• generate_command_schema() — —
• create_placeholder_schema() — —
• install_command_with_schema() — —
• run_nlp2cmd_command() — —
• test_all_commands() — —
• show_schemas() — —
• cleanup() — —
• main() — —
• print_status() — —
• print_success() — —
• print_warning() — —
• print_error() — —
• print() — —
• extract_domain() — —
• run() — —
• main() — —
• print_separator(title) — —
• print_rule() — —
• init_verbose(enabled) — Initialize verbose mode. Call early, before importing nlp2cmd modules.
• vlog(msg, indent) — Print a verbose log message (only when --verbose is active).
• dump_page_schema(page, max_depth) — Inspect the page DOM and print a schema summary.
• dump_selectors(page, selectors) — Try each selector and report which ones matched elements.
• vlog_decision(action, reason, alternatives) — Log a decision made during automation.
• ensure_playwright_browsers(auto_install, browser_type) — Check if Playwright browsers are installed, and auto-install if missing.
• ensure_playwright_browsers_async(auto_install, browser_type) — Check if Playwright browsers are installed, and auto-install if missing.
• discover_working_url(page, initial_url, fallback_urls, required_selector) — Auto-discover working URL when initial URL fails (404 or missing required elements).
• auto_navigate_with_fallback(page, target_urls, target_name) — Navigate to target URL with automatic fallback discovery.
• print_status() — —
• print_success() — —
• print_warning() — —
• print_error() — —
• check_script() — —
• run_python_script() — —
• show_usage() — —
• run_example() — —
• list_examples() — —
• main() — —
• main() — —
• example_scheduling() — Example 1: Scheduling tasks with Langevin dynamics.
• example_allocation() — Example 2: Resource allocation with thermodynamic sampling.
• example_energy_savings() — Example 3: Energy savings estimation.
• example_majority_voting() — Example 4: Majority voting strategies.
• example_routing() — Example 5: Routing/TSP optimization with Langevin dynamics.
• example_direct_problem() — Example 6: Direct problem definition (without NL parsing).
• main() — Run all examples.
• main() — —
• print_section(title) — Print section header.
• print_step(step) — Print step indicator.
• mock_sql_select(table, columns, filters) — Mock SQL SELECT handler.
• mock_shell_find(glob, path) — Mock shell find handler.
• mock_shell_count_pattern(file, pattern) — Mock shell grep/count handler.
• mock_k8s_get(resource, namespace) — Mock kubectl get handler.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• demo_intelligent_nlp2cmd() — Demonstrate the intelligent NLP2CMD system.
• demonstrate_persistent_storage() — Demonstrate the persistent storage system.
• show_storage_benefits() — Show the benefits of per-command storage.
• main() — Run the enhanced NLP2CMD demo.
• demonstrate_schema_flow() — Demonstrate complete schema flow.
• demonstrate_multiple_commands() — Demonstrate with multiple commands.
• show_schema_details() — Show detailed schema information.
• main() — Main demonstration.
• demonstrate_version_detection() — Demonstrate practical version detection and command adaptation.
• show_integration_example() — Show how to integrate version detection into NLP2CMD.
• show_version_mapping() — Show version mapping for different commands.
• main() — Main demonstration.
• show_schema_extraction_flow() — Show how schema extraction works.
• show_file_locations() — Show where everything is stored.
• show_api_usage() — Show API usage examples.
• main() — Main function.
• main() — —
• run_nlp2cmd_command(command, verbose) — Run nlp2cmd with the given command.
• get_command_for_service(service) — Get natural language command for credential diagnosis.
• main() — —
• check() — —
• run_flow(dry_run) — —
• main() — —
• main() — —
• scan() — Pokaż tabelę dostępności credentials.
• plan_all() — Wygeneruj plany dla providerów z hasłami ale bez kluczy API.
• setup_providers(providers) — Wykonaj setup dla wybranych providerów.
• setup_all() — Setup dla wszystkich providerów z hasłami ale bez kluczy.
• main() — —
• check_credentials() — Sprawdź dostępność danych logowania.
• run_flow(dry_run) — Uruchom pełny flow pobierania klucza.
• main() — —
• check() — —
• run_flow(dry_run) — —
• main() — —
• check() — —
• run_flow(dry_run) — —
• main() — —
• old_way_examples() — Examples of old system usage patterns
• new_way_examples() — Examples of new TOON system usage
• migration_steps() — Step-by-step migration guide
• performance_comparison() — Performance comparison examples
• practical_examples() — Practical migration examples
• main() — Main migration guide
• migrate_existing_schemas(source_file) — Migrate existing schemas to versioned storage.
• demonstrate_schema_updates(store) — Demonstrate updating schemas with new versions.
• demonstrate_dual_versions(store) — Demonstrate handling two versions of the same command.
• main() — Main demonstration.
• run_demo_with_test(interactive) — Run demo with automatic deployment and testing.
• test_services(controller) — Test if services are working properly.
• test_chat_service(container) — Test chat service (nginx).
• test_redis_service(container) — Test Redis service.
• troubleshoot_and_fix(controller, original_command) — Troubleshoot and fix deployment issues.
• interactive_mode(controller) — Interactive mode for additional commands.
• run_batch_demo() — Run all commands from prompt.txt automatically.
• test_services(controller) — Test if services are working properly.
• test_chat_service(container) — Test chat service (nginx).
• test_redis_service(container) — Test Redis service.
• test_postgres_service(container) — Test PostgreSQL service.
• demo_nlp_commands() — Interaktywna demonstracja poleceń NLP.
• run_example(example_num) — Run specific example.
• main() — —
• process_command(request) — Przetwarzaj komendę z języka naturalnego.
• get_status() — Pobierz status API.
• get_history(limit) — Pobierz historię komend.
• get_services() — Pobierz wdrożone usługi.
• home(request) — Strona główna z interfejsem użytkownika.
• history_page(request) — Strona z historią komend.
• services_page(request) — Strona z usługami.
• get_examples() — Pobierz przykładowe komendy.
• run_command(command, dsl, use_llm, auto_install) — Quick way to run a single NLP2CMD command.
• generate_compose(services) — Generuje strukturę docker-compose.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• benchmark_performance() — Benchmark performance comparison
• compare_usage_patterns() — Compare usage patterns between old and new systems
• compare_data_structure() — Compare data structure differences
• demonstrate_llm_friendly_format() — Show how TOON format is LLM-friendly
• main() — Main demo function
• main() — Main demo function
• demo_basic_usage() — Demonstrate basic TOON usage
• demo_real_world_example() — Show real-world example
• demo_integration_example() — Show integration example
• demo_advanced_features() — Show advanced features
• demo_performance_tips() — Show performance tips
• main() — Main demo function
• main() — Demonstrate TOON usage
• main() — —
• main() — —
• main() — —
• main() — —
• batch_validate(commands) — Walidacja wsadowa komend.
• batch_export(commands, format) — Eksport wsadowy komend.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• benchmark_old_system() — Benchmark starego systemu.
• benchmark_toon() — Benchmark TOON - pojedynczy plik.
• main() — —
• main() — —
• estimate_old_system_memory() — Estymacja zużycia pamięci starego systemu.
• estimate_toon_memory() — Estymacja zużycia pamięci TOON.
• format_size(size_bytes) — Formatuje rozmiar w bajtach na czytelną formę.
• main() — —
• mock_docker_ps() — Mock: List Docker containers.
• mock_k8s_get(resource) — Mock: Get Kubernetes resources.
• mock_sql_select(table) — Mock: SQL query.
• mock_process_list() — Mock: System process list.
• check_health(data) — Custom handler: Analyze health status.
• main() — —
• mock_find_logs() — Mock: Find log files.
• mock_count_pattern(file, pattern) — Mock: Count pattern occurrences in file.
• mock_read_file(path) — Mock: Read file contents.
• main() — —
• print_section(title) — Print section header.
• print_result(result, title) — Print validation result.
• main() — —
• print_section(title) — Print section header.
• run_single_command_benchmark(nlp, command) — Run benchmark for a single command.
• run_sequential_benchmark(nlp, commands) — Run benchmark for sequential commands.
• benchmark_adapters() — Benchmark different adapters.
• generate_report(results) — Generate comprehensive benchmark report.
• generate_markdown_report(report) — Generate a comprehensive Markdown report with thermodynamic analysis.
• save_report(report, filename) — Save benchmark report to file.
• print_report_summary(report) — Print a summary of the benchmark report.
• main() — Main benchmark function.
• print_section(title) — Print section header.
• run_command_with_timing(nlp, command) — Run a single command and return the result with timing.
• main() — Demonstrate sequential command processing.
• print_section(title) — Print section header.
• main() — —
• main() — —
• demonstrate_mock_llm() — Demonstrate with mock LLM backend.
• demonstrate_rule_based_fallback() — Demonstrate with rule-based fallback.
• demonstrate_real_llm_setup() — Show how to set up real LLM backends.
• demonstrate_hybrid_approach() — Demonstrate hybrid LLM + rule-based approach.
• main() — Run all demonstrations.
• main() — —
• main() — —
• main() — —
• format_size(gb) — Format size in human-readable format.
• main() — —
• simulate_interactive_session() — Simulate an interactive session with feedback loop.
• run_nlp2cmd_command(command, verbose) — Run nlp2cmd with the given command.
• get_command_for_task(task) — Get natural language command for shell tasks.
• main() — —
• main() — —
• main() — —
• run_nlp2cmd_command(command, verbose) — Run nlp2cmd with the given command.
• get_command_for_task(task) — Get natural language command for Docker tasks.
• main() — —
• create_sample_files(tmpdir) — Create sample files for testing.
• validate_file(registry, path, schema_name) — Validate a file and print results.
• repair_file(registry, path, schema_name, auto_fix) — Repair a file and show changes.
• main() — —
• main() — —
• show_help() — —
• check_nlp2cmd() — —
• Nlp2cmd() — —
• main() — —
• get_platform_info() — Get platform info for logging and diagnostics.
• dismiss_popups(page, log, timeout) — Dismiss common popups, cookie banners, GDPR notices.
• check_page_health(page, required_selector, log) — Comprehensive page health check after navigation.
• discover_working_url(page, site_name, custom_urls, required_selector) — Intelligent URL discovery with fallback chain and health checks.
• wait_for_canvas(page, selector, timeout_s, log) — Poll for a visible canvas element up to timeout_s seconds.
• retry_async(coro_fn, max_retries, backoff, log) — Retry an async operation with exponential backoff.
• find_canvas(page, log) — Find the best canvas element using multiple strategies.
• take_screenshot(page, path, log, metadata) — Take a screenshot and save metadata alongside it.
• main() — —
• map_vision_to_shapes(vision_description) — Map vision analysis output to known shapes.
• list_shapes(category) — List all registered shapes organized by category.
• generate_svg(shape_name, size) — Generate SVG string for a single shape.
• generate_svg_files(shapes) — Generate individual SVG files for each shape.
• generate_html_gallery(shapes) — Generate HTML gallery page with all shapes.
• analyze_image_and_draw(image_path, headless) — Analyze image with Qwen VL via DrawValidationSkill and draw matching shapes.
• draw_on_canvas(shapes, headless, title) — Draw shapes in a grid on jspaint.app using 3-skill architecture.
• main() — —
• main() — —
• mock_example_execution(context) — Symuluje wykonanie przykładu z możliwością błędu.
• run_scenario(scenario_name, use_orchestrator) — Uruchamia scenariusz z lub bez orchestratora.
• print_metrics_report(metrics, title) — Drukuje raport metryk.
• print_learning_report() — Drukuje raport uczenia się.
• main() — —
• parse_objects_from_scene(scene) — Parse object names from a scene description.
• run_scene(objects, headless, use_vision, verbose) — Draw a multi-object scene using the 3-skill architecture.
• show_database() — Show all available shape sources.
• main() — —
• search_demo(query, max_results, summarize) — Demonstrate search functionality.
• main() — —
• run_autonomous(description, headless, max_iterations, verbose) — Run the full autonomous drawing pipeline using 3 skills.
• fetch_only(shape_name) — Just fetch a shape from databases and display info.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_command_for_shape_and_color(shape, color) — Get natural language command for drawing shapes.
• get_fallback_command(shape, color) — Get fallback command for when draw.chat is down (based on analysis).
• main() — —
• main() — —
• main() — —
• resolve_shapes(description, verbose) — Resolve shape names from description.
• run_autonomous(description, headless, max_corrections, verbose) — Run the full autonomous drawing pipeline.
• fetch_only(shape_name) — Just fetch a shape from databases and display info.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_command_for_pattern_and_color(pattern, color, fallback) — Get natural language command for painting patterns.
• get_pattern_analysis_info() — Get pattern painting information based on analysis.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_adaptive_command(prompt, fallback) — Get adaptive drawing command based on analysis findings.
• get_color_analysis_info() — Get color handling information based on analysis.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• main() — —
• generate_plan_with_llm(query) — Try to generate a drawing plan using LLM Router with adaptive learning.
• main() — —
• main() — —
• draw_and_validate(shape, color, description, headless) — Draw a shape using 3-skill pipeline and validate with Qwen VL.
• validate_screenshot(screenshot_path, description, verbose, use_vision) — Validate an existing screenshot without drawing.
• run_demo(headless, use_vision) — Run validation on multiple demo scenarios.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• should_run() — —
• main() — —
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_command_for_preset(preset) — Get natural language command for a preset.
• main() — —
• main() — —
• main() — —
• detect_language(query) — Detect programming language from query.
• detect_task(query) — Detect coding task from query keywords.
• generate_code_with_llm(query, lang) — Generate code using LLM Router with adaptive learning.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_command_for_code(code, lang) — Get natural language command for code execution.
• main() — —
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• get_command_for_preset(preset) — Get natural language command for a preset.
• main() — —
• type_into_codepen_editor(page, panel_selector, code) — Type code into a CodePen editor panel using CodeMirror API.
• generate_code_from_description(description) — Generate simple HTML/CSS/JS from natural language description.
• main() — —
• json_safe(s) — Escape string for safe JS injection.
• run_nlp2cmd_command(command, headless, verbose) — Run nlp2cmd with the given command.
• main() — —
• build_prompt(args) — Build the full prompt from CLI arguments.
• main() — —
• run_benchmark(validator, runs_per_case, label) — Run benchmark: each case N times, collect accuracy/consistency/latency.
• compare_benchmarks(before, after) — Print comparison of two benchmark runs.
• main() — —
• test_prompt(example, verbose) — Test a single prompt against ActionPlanner (dry-run, no browser).
• run_all_tests(provider, verbose) — Run all prompt tests and return summary.
• print_separator(title) — —
• print_rule() — —
• rule_line() — —
• print_demo_header(title) — —
• run_thermo_demo(title, prompt) — —
• print_metrics(result) — —
• print_simple_result(query, result, elapsed_ms) — —
• print_full_result(query, result, elapsed_ms) — —
• sigmoid(value) — —
• project_sample(problem, raw_sample) — —
• print_projected(title, projected) — —
• print_fallback_note(problem_name) — —
• run_all_demos() — Uruchom wszystkie demonstracje.
• print_summary_table() — Wyświetl tabelę podsumowującą zastosowania.
• test_polish_queries() — Test Polish language queries with mock LLM.
• test_integration_pattern() — Test the integration pattern for real LLM.
• show_real_setup_instructions() — Show instructions for real model setup.
• download_bielik() — Pobierz model Bielik-1.5B GGUF.
• main() — Główna funkcja setup.
• test_pdf_search_queries() — Test różnych zapytań o wyszukiwanie PDF.
• show_configuration_guide() — Pokaż przewodnik konfiguracji.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• demo_unit_commitment() — Harmonogramowanie pracy elektrowni (Unit Commitment).
• demo_renewable_integration() — Integracja OZE z siecią.
• demo_water_distribution() — Optymalizacja sieci wodociągowej.
• demo_gas_network() — Optymalizacja sieci gazowej.
• demo_electric_vehicle_charging() — Zarządzanie stacjami ładowania EV.
• demo_demand_response() — Programy Demand Response.
• demo_microgrid() — Optymalizacja mikrosieci.
• main() — Uruchom wszystkie demonstracje energetyczne.
• demo_lead_optimization() — Optymalizacja leadu z ograniczeniami fizykochemicznymi.
• demo_admet_balancing() — Wielokryterialna optymalizacja ADMET.
• main() — Uruchom demonstracje Drug Discovery.
• demo_vehicle_routing() — Optymalizacja tras dostaw (VRP).
• demo_warehouse_optimization() — Optymalizacja rozmieszczenia produktów w magazynie.
• demo_production_scheduling() — Harmonogramowanie produkcji.
• demo_inventory_optimization() — Optymalizacja zapasów.
• demo_supply_chain_network() — Optymalizacja sieci łańcucha dostaw.
• demo_cross_docking() — Optymalizacja cross-docking.
• main() — Uruchom wszystkie demonstracje logistyczne.
• print_result(query, result, elapsed) — Helper function to print results for both DSL and Thermodynamic sources.
• run_query_group(title, section_label, queries) — —
• demo_file_operations() — Demonstracja operacji na plikach.
• demo_system_monitoring() — Demonstracja monitoringu systemu.
• demo_network_operations() — Demonstracja operacji sieciowych.
• demo_process_management() — Demonstracja zarządzania procesami.
• demo_development_tools() — Demonstracja narzędzi deweloperskich.
• demo_security_operations() — Demonstracja operacji bezpieczeństwa.
• demo_backup_operations() — Demonstracja operacji backup.
• demo_system_maintenance() — Demonstracja konserwacji systemu.
• main() — Uruchom wszystkie demonstracje komend DSL.
• demo_hyperparameter_optimization() — Optymalizacja hiperparametrów modelu ML.
• demo_feature_selection() — Optymalizacja wyboru cech dla modelu ML.
• demo_experiment_scheduling() — Planowanie eksperymentów ML na klastrze GPU.
• demo_model_ensemble_optimization() — Optymalizacja ensemble modeli.
• main() — Uruchom wszystkie demonstracje Data Science.
• demo_traffic_optimization() — Optymalizacja sygnalizacji świetlnej.
• demo_smart_grid() — Bilansowanie obciążenia sieci energetycznej.
• demo_waste_management() — Optymalizacja tras wywozu odpadów.
• demo_public_transport() — Optymalizacja transportu publicznego.
• demo_parking_management() — Zarządzanie parkingami.
• demo_air_quality() — Monitorowanie i optymalizacja jakości powietrza.
• demo_water_management() — Zarządzanie systemem wodociągowym.
• main() — Uruchom wszystkie demonstracje smart cities.
• demo_portfolio_optimization() — Optymalizacja portfela inwestycyjnego (Markowitz).
• demo_trade_execution() — Optymalizacja wykonania dużego zlecenia (TWAP/VWAP).
• demo_risk_allocation() — Alokacja limitów ryzyka między deskami tradingowymi.
• demo_arbitrage_detection() — Wykrywanie i optymalizacja arbitrażu.
• demo_options_strategy() — Optymalizacja strategii opcji.
• demo_credit_scoring() — Optymalizacja modeli credit scoring.
• main() — Uruchom wszystkie demonstracje finansowe.
• demo_particle_collision() — Planowanie eksperymentów w akceleratorze cząstek.
• demo_molecular_dynamics() — Optymalizacja parametrów symulacji MD.
• demo_telescope_scheduling() — Harmonogram obserwacji teleskopowych.
• demo_quantum_computing() — Optymalizacja obwodów kwantowych.
• demo_climate_modeling() — Optymalizacja parametrów modelu klimatu.
• demo_particle_physics() — Analiza danych z fizyki cząstek.
• demo_materials_science() — Optymalizacja eksperymentów materiałoznawstwa.
• main() — Uruchom wszystkie demonstracje fizyki.
• demo_or_scheduling() — Harmonogramowanie sal operacyjnych.
• demo_nurse_scheduling() — Grafik dyżurów pielęgniarek.
• demo_patient_allocation() — Alokacja pacjentów do ramion badania klinicznego.
• demo_emergency_department() — Optymalizacja pracy oddziału ratunkowego.
• demo_ambulance_dispatch() — Dyspozycja karetek pogotowia.
• demo_icu_bed_management() — Zarządzanie łóżkami na OIOM.
• demo_pharmacy_inventory() — Zarządzanie zapasami w aptece szpitalnej.
• main() — Uruchom wszystkie demonstracje healthcare.
• demo_devops_commands() — Podstawowe komendy DevOps.
• demo_ci_cd_optimization() — Optymalizacja CI/CD Pipeline.
• demo_incident_response() — Automatyczna analiza i response na incydenty.
• main() — Uruchom wszystkie demonstracje DevOps.
• demo_genomic_pipeline() — Optymalizacja pipeline'u analizy genomowej.
• demo_protein_folding() — Alokacja zasobów dla symulacji foldingu białek.
• demo_crispr_optimization() — Optymalizacja sekwencji guide RNA.
• demo_proteomics_analysis() — Planowanie analizy proteomicznej.
• demo_drug_discovery() — Optymalizacja procesu odkrywania leków.
• main() — Uruchom wszystkie demonstracje bioinformatyki.
• print_separator(title) — Drukuj ładny separator z tytułem.
• print_result(query, result, elapsed, source) — Wyświetl wynik w standardowym formacie.
• demo_python_api() — Demonstracja użycia Python API.
• demo_shell_commands() — Demonstracja komend shell.
• demo_mixed_usage() — Demonstracja mieszanego użycia Python + shell.
• demo_advanced_features() — Demonstracja zaawansowanych funkcji.
• main() — Główna funkcja demonstracyjna.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• debug_keywords() — Debug keyword patterns.
• debug_generator() — Debug generator internals.
• main() — Uruchom walidację komend shell.
• debug_intents() — Debug intent detection.
• print_separator(title) — Drukuj separator z tytułem.
• demo_python_api_concept() — Demonstracja koncepcji Python API.
• demo_shell_commands() — Demonstracja komend shell.
• demo_mixed_workflow() — Demonstracja mieszanego workflow.
• demo_advanced_patterns() — Demonstracja zaawansowanych wzorców.
• demo_real_world_examples() — Demonstracja rzeczywistych przypadków użycia.
• main() — Główna funkcja demonstracyjna.
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• main() — —
• demo_course_timetabling() — Układanie planu zajęć na uczelni.
• demo_exam_scheduling() — Harmonogram sesji egzaminacyjnej.
• demo_learning_path() — Personalizacja ścieżki nauki.
• demo_classroom_allocation() — Alokacja sal wykładowych.
• demo_student_grouping() — Tworzenie grup projektowych.
• demo_resource_optimization() — Optymalizacja zasobów edukacyjnych.
• demo_curriculum_planning() — Planowanie programu nauczania.
• main() — Uruchom wszystkie demonstracje edukacyjne.
• ollama_available() — —
• ollama_model_exists(name) — —
• ollama_create_bielik() — Create ollama model from local Bielik GGUF if not already present.
• ollama_generate(model, prompt, system, max_tokens) — Call ollama /api/generate, return (text, duration_sec).
• clean_command(raw) — Extract clean command from LLM response.
• run_benchmark() — —
• build_summary(results) — Aggregate per-model and per-domain stats.
• generate_html(results) — Generate interactive HTML with Chart.js visualisations.
• print_summary(results) — —
• generate_refactoring_notes(results) — Generate refactoring recommendations based on benchmark data.
• generate_command_errors_report(results) — Generate a Markdown report listing incorrect commands.
• main() — —
• benchmark_langevin_sampler(n_iterations, n_steps, dim) — Benchmark raw Langevin sampler performance.
• benchmark_parallel_vs_sequential(n_samples, n_steps, dim) — Compare parallel vs sequential sampling.
• benchmark_adaptive_steps(problem_sizes) — Benchmark adaptive steps for different problem sizes.
• benchmark_generator_problems(n_iterations) — Benchmark different problem types with ThermodynamicGenerator.
• benchmark_energy_savings() — Calculate energy savings for different scenarios.
• print_benchmark_result(result) — Pretty print a benchmark result.
• main() — Run all benchmarks.
• run_learning_benchmark() — —
• generate_html(results) — —
• print_summary(results) — —
• main() — —
• get_timestamp() — Generate timestamp string for filenames.
• ensure_dir(path) — Ensure directory exists, create if not.
• ask_for_screenshot(console, default_path) — Ask user if they want to take a screenshot.
• take_screenshot(page, path, console) — Take a screenshot of current page state.
• ask_for_video_recording(console) — Ask user if they want to record video.
• get_polish_support() — Get Polish language support instance
• load_appspec(path) — —
• get_monitor() — Get the global resource monitor instance.
• measure_resources() — Convenient context manager for resource measurement.
• get_last_metrics() — Get metrics from last execution.
• format_last_metrics() — Format metrics from last execution for display.
• get_system_info() — Get general system information.
• estimate_token_cost(time_ms, cpu_percent, memory_mb, energy_mj) — Convenient function for token cost estimation.
• format_token_estimate(estimate) — Format token cost estimate for display.
• parse_metrics_string(metrics_str) — Parse metrics string like '⏱️ Time: 2.6ms | 💻 CPU: 0.0% | 🧠 RAM: 53.5MB (0.1%) | ⚡ Energy: 0.022mJ'
• lookup_blueprint(query) — Find a matching drawing blueprint for the given query.
• get_blueprint_steps(query) — Get drawing steps for a matched blueprint.
• list_available_blueprints() — Return list of available blueprint names.
• get_password_store() — Get the singleton password store instance.
• get_vector_store(persist_dir) — Get or create the global vector store instance.
• initialize_default_patterns() — Initialize vector store with default drawing patterns.
• export_patterns_to_file(filepath) — Export all patterns to a JSON file for backup/sharing.
• import_patterns_from_file(filepath) — Import patterns from a JSON file.
• create_optimized_matcher_from_phrases(phrases_path, preload) — Create an OptimizedSemanticMatcher from phrases JSON.
• get_optimized_semantic_matcher(preload) — Get or create optimized semantic matcher singleton.
• preload_models() — Pre-load all models at application startup.
• clear_embedding_cache() — Clear the embedding cache to free memory.
• get_cache_stats() — Get embedding cache statistics.
• fingerprint(text) — Create a stable fingerprint for a query (lowercase, stripped, hashed).
• fuzzy_fingerprint(text) — Create a looser fingerprint ignoring stop words and punctuation.
• detect_domain(text) — Detect domain from keywords. Returns best match or 'shell' as default.
• load_expanded_phrases(path) — Load samples from expanded_phrases.json.
• load_patterns(path) — Load samples from patterns.json.
• load_command_schemas(schemas_dir) — Load samples from command schema files.
• generate_augmented_samples(samples) — Generate augmented training samples with variations.
• deduplicate_samples(samples) — Remove duplicate samples.
• train_all_models(data_dir, output_dir, augment, verbose) — Train ML models on all available data.
• quick_test(data_dir) — Quick test of trained model.
• create_multilingual_matcher(phrases_dict, schema_path) — Create a fuzzy matcher with default multilingual phrases.
• should_attempt_repair(error, context) — Determine if auto-repair should be attempted.
• create_thermodynamic_generator(n_samples, n_steps, adaptive_steps, parallel_sampling) — Create a thermodynamic generator with default configuration.
• generate_training_data_from_phrases(phrases_path) — Generate training data from multilingual_phrases.json.
• create_default_training_data() — Create default training dataset for shell commands.
• get_ml_classifier(force_retrain) — Get or create ML intent classifier singleton.
• get_multi_command_detector() — Get or create the global multi-command detector instance.
• detect_multi_commands(text) — Convenience function to detect multiple commands.
• get_enhanced_detector() — Get or create enhanced detector instance.
• load_legacy_phrases(path) — Load phrases from legacy multilingual_phrases.json format.
• merge_databases() — Merge multiple phrase databases.
• benchmark_formats(db, iterations) — Benchmark different data formats.
• create_pipeline(confidence_threshold, custom_patterns) — Create a RuleBasedPipeline with default configuration.
• create_default_validators() — Create default validators for all domains.
• create_hybrid_generator(llm_client, confidence_threshold) — Factory function to create a hybrid generator.
• add_service_command(main_group) — Add service command to the main CLI group.
• create_app() — Create FastAPI application for uvicorn import.
• create_service_config_from_args(host, port, debug, log_level) — Create ServiceConfig from command line arguments.
• get_data_manager(toon_file) — Get or create data manager instance
• reload_data_manager(toon_file) — Reload data manager with new file
• load_command_schemas() — Load command schemas (backward compatibility)
• load_config() — Load configuration (backward compatibility)
• get_project_info() — Get project information (backward compatibility)
• get_service_registry(config_dir) — Return the global ServiceRegistry singleton (lazy-loaded).
• get_intent_registry(config_dir) — Return the global IntentRegistry singleton (lazy-loaded).
• detect_language(text) — Heuristic language detection based on character sets and word frequency.
• normalize_unicode(text) — Apply NFC normalization so combining characters are composed.
• fold_accents(text) — Strip diacritical marks, producing ASCII-like text for fuzzy matching.
• correct_typos(text, threshold) — Correct known typos in text using direct lookup + rapidfuzz fallback.
• tokenize(text) — Split text into tokens suitable for downstream NLP processing.
• test_per_command_store() — Test the per-command schema store.
• demonstrate_version_management() — Demonstrate version management for command schemas.
• web_schema_group() — Web schema extraction and management commands.
• extract_schema(url, output, headless) — Extract schema from a web page.
• show_history(domain, limit, stats) — Show interaction history.
• export_learned_schema(domain, output) — Export learned schema from interaction history.
• clear_history(domain, clear_all) — Clear interaction history.
• display_command_result(command, metadata, metrics_str, show_yaml) — Display command result with simple YAML format and bash markdown.
• display_table(data, title, headers, show_headers) — Display data in a formatted table.
• display_panel(content, title, border_style, padding) — Display content in a formatted panel.
• display_info(message, style) — Display informational message.
• display_success(message) — Display success message.
• display_error(message) — Display error message.
• display_warning(message) — Display warning message.
• display_debug(message) — Display debug message.
• display_progress(message, spinner) — Display progress message.
• display_section(title, content) — Display section with title and optional content.
• display_list(items, title, bullet) — Display list of items.
• display_kv_pairs(data, title, indent) — Display key-value pairs.
• get_adapter(dsl, context) — Get the appropriate adapter for the DSL type.
• with_auto_repair(auto_confirm, console) — Decorator that adds auto-repair capability to any function.
• execute_with_auto_recovery(func) — Execute a function with automatic error recovery.
• get_syntax_cache() — Get the global syntax cache instance.
• get_cached_syntax(code, lexer, theme, line_numbers) — Get a cached Syntax object using the global cache.
• clear_syntax_cache() — Clear the global syntax cache.
• get_cache_stats() — Get global cache statistics.
• print_markdown_block(renderable) — Print a renderable or string wrapped in a Markdown code block.
• print_yaml_block(data) — —
• history_group() — Command history and analytics.
• show_history(dsl, limit, failed_only) — Show command execution history.
• show_stats(schema_usage) — Show command execution statistics.
• show_popular(limit) — Show most popular queries.
• export_analytics(output) — Export detailed analytics to JSON.
• clear_history(confirm) — Clear command history.
• repair(ctx, file, backup) — Repair a configuration file.
• validate(ctx, file) — Validate a configuration file.
• analyze_env(ctx, output) — Analyze system environment.
• version() — —
• main(ctx, interactive, dsl, appspec) — NLP2CMD - Natural Language to Domain-Specific Commands.
• cli_entry_point() — Entry point that handles natural language queries before Click.
• show_schema_info(console) — Show available schemas (intents, entities, templates) as markdown.
• show_decision_tree_info(query, console) — Show decision tree for a query - step by step pipeline decisions.
• generate_debug_log_md(query, output_path) — Generate comprehensive debug log in markdown format.
• cache_group() — External dependencies cache management.
• setup_cache(cache_dir) — Setup environment for cached external dependencies.
• install_package(package, force, cache_dir) — Install external packages to cache.
• show_cache_info(cache_dir) — Show cache information and statistics.
• check_cache(package, cache_dir) — Check if packages are cached.
• clear_cache(package, clear_all, cache_dir) — Clear cached packages.
• full_clear_cache(include_models, include_global_playwright) — Clear all nlp2cmd caches (runtime + external + schema + optional global caches).
• auto_setup(cache_dir) — Automatically setup and install if needed.
• cmd_repair(file, backup) — Repair a configuration file.
• cmd_validate(file) — Validate a configuration file.
• cmd_analyze_env(output) — Analyze system environment.
• run_doctor(auto_fix, output_json, fix_script) — Run the doctor diagnostic.
• get_hf_token_via_browser(console) — Open browser to help user get HF_TOKEN from Hugging Face.
• handle_generate_query(query) — Handle single-query generation (no --run, dsl=auto fast path).
• handle_appspec_query(query) — Handle single-query generation for appspec DSL.
• handle_run_mode(query, dsl, appspec, auto_confirm) — Handle --run option: generate and execute command with error recovery.
• quick_find_content(url, content_type, search_term, headless) — Quick helper to find content URL without managing browser.
• quick_find_form(url, intent, headless) — Quick helper to find form URL without managing browser.
• create_example_env_file(path) — Create example .env file with form field templates.
• create_example_form_data_json(path) — Create example form_data.json file.
• extract_web_schema(url, output_dir, headless, use_cache) — Extract schema from a web page and optionally save it.
• get_os_open_command() — Get the appropriate command to open URLs on current OS.
• normalize_url(url) — Normalize a URL by adding protocol if missing.
• open_url(url, use_webbrowser) — Open a URL in the default browser.
• search_web(query, engine) — Search the web using the specified search engine.
• generate_shell_command(action, params) — Generate a shell command for browser actions.
• create_default_registry(shell_policy, safety_policy) — Create an ExecutorRegistry pre-loaded with all built-in executors.
• explore(root, intent, search_term, space_type) — Universal exploration function.
• quick_find_file(path, pattern, max_depth) — Quick helper to find file path.
• quick_find_in_data(data, search_term, max_depth) — Quick helper to find path in data.
• get_resource_discovery_manager() — Get or create the global resource discovery manager.
• quick_find_endpoint(base_url, search_term, auth_token) — Quick helper to find API endpoint URL.
• classify_task(prompt) — Classify prompt into task category using keyword patterns.
• get_router() — Get or create the default LLMRouter singleton.
• reset_router() — Reset the default router (e.g., after config change).
• classify_error(error_msg, model, task) — Classify an error message into a known pattern category.
• parse_svg_path(d, scale, center) — Parse SVG path 'd' attribute into point groups.
• validate_geometry(points, name) — Validate generated geometry for common issues.
• normalize_points(points, target_size) — Normalize point groups to fit within [-target_size, target_size] centered at origin.
• get_registry() — Get the global action registry instance.
• get_workspace() — Return the .nlp2cmd workspace directory, creating it if needed.
• handle_shell_exec(step, ctx) — Execute a shell command.
• handle_generate_code(step, ctx) — Generate code via LLM.
• handle_wait(step, ctx) — Wait for a specified duration.
• handle_inspect(step, ctx) — Inspect page DOM structure and store schema in context.
• handle_navigate(step, ctx) — Navigate browser page to URL.
• handle_dismiss_popups(step, ctx) — Dismiss cookie banners, consent dialogs, etc.
• handle_inject_code(step, ctx) — Inject code into a web page editor (CM5/CM6/Monaco/Ace/textarea).
• handle_find_and_click(step, ctx) — Find and click a button by purpose.
• handle_capture_output(step, ctx) — Capture program output from web page.
• handle_screenshot(step, ctx) — Take a screenshot.
• handle_validate(step, ctx) — Validate output via reflection (delegates to ResultAnalyzer).
• handle_discover_url(step, ctx) — Discover a working URL when the primary one fails (404, no canvas, etc.).
• handle_check_health(step, ctx) — Check page health: is the page loaded, has expected elements, no errors.
• handle_find_canvas(step, ctx) — Find and activate a canvas element on the page.
• handle_draw_shape(step, ctx) — Draw a shape on canvas using the DrawingSkill system.
• handle_navigate_with_fallback(step, ctx) — Navigate to URL with automatic fallback discovery if primary URL fails.
• register_default_handlers(orch) — Register all default step handlers on an Orchestrator instance.
• has_error_signals(text) — Fast check: does the text contain error patterns?
• classify_error(text) — Classify an error from output text (fast, no LLM).
• suggest_retry_strategy(error_type) — Suggest a retry strategy based on error classification.
• is_playwright_installed() — Check if Playwright is installed.
• is_playwright_browsers_installed() — Check if Playwright browsers are installed by looking for the executable.
• install_playwright(console) — Install Playwright package.
• install_playwright_browsers(console) — Install Playwright browsers (chromium).
• ensure_playwright_installed(console, auto_install) — Ensure Playwright is installed, prompting user if needed.
• main() — CLI interface for cache manager.
• get_user_config_dir() — Return the user config directory for NLP2CMD.
• find_data_files() — Return a list of existing data file paths in merge order.
• find_data_file() — Resolve a data/*.json file path.
• data_file_write_path() — Resolve a writable path for a data file.
• parse_source_uri(uri) — Parse a --source URI string into SourceURI.
• create_enhanced_nlp2cmd(appspec_path, nlp_backend, config) — —
• get_parser(file_path) — Get or create parser instance
• reload_parser(file_path) — Reload parser with new file
• get_global_history() — Get or create global command history instance.
• record_command(query, dsl, command) — Convenience function to record to global history.
• register_action(action_name) — Decorator to register a handler class.
• get_action(action_name) — Get the handler class for an action name.
• register_handler(action_name) — Decorator to register a handler class.
• get_handler(action_name) — Get the handler class for an action name.
• test_dynamic_generation() — Test dynamic schema generation.
• test_command_detector() — Test the command detector with various queries.
• test_version_aware_generation() — Test the version-aware command generation.
• main(target, source_type, out_format, raw) — —
• validate_app2schema_export(payload) — —
• validate_appspec(payload) — —
• discover_openapi_spec_url(base_url) — —
• extract_schema(target) — —
• extract_appspec_to_file(target, out_path) — —
• extract_schema_to_file(target, out_path) — —
• ensure_playwright() — Ensure playwright is available.
• start_recording(container, duration) — Start ffmpeg video recording inside the Docker container.
• stop_recording(container) — Stop ffmpeg recording.
• run_demo() — Run the desktop GUI automation demo with markdown session logging.
• main() — —
• main() — Demonstrate comprehensive command scanning.
• main() — Demonstrate non-LLM schema extraction.
• load_commands_from_files() — Load unique commands from cmd.csv and cmd.txt.
• update_all_schemas(force_update) — Update schemas for all commands.
• main() — Main function.
• main() — Demonstrate enhanced schema generation.
• main() — Main function to generate schemas for all commands.
• main() — Main entry point.
• validate_and_fix_schemas() — Validate all schemas and fix issues.
• main() — Demonstrate intelligent command generation.
• create_enhanced_prompt_list() — Create an enhanced list of test prompts.
• main() — Main function to generate CSV from prompt.txt.
• load_prompts(prompt_file) — Load prompts from file or create default list.
• detect_command_version(command) — Detect version of a command.
• generate_command(prompt) — Generate command from prompt using simple patterns.
• main() — Generate cmd.csv from prompt.txt.
• analyze_version_standards() — Analyze common version detection standards.
• test_version_detection_patterns() — Test various version detection patterns.
• check_schema_version_support() — Check if schemas have version detection implemented.
• demonstrate_version_detection_implementation() — Show how version detection is implemented.
• best_practices() — Show best practices for version detection.
• main() — Main analysis function.
• compare_schemas() — Compare schemas generated with and without LLM.
• compare_batch_files() — Compare results from batch files.
• quick_test() — Quick test of NLP2CMD command generation.
• main() — Setup external dependencies cache.
• bump_version(version_type) — Bump version in pyproject.toml
• echo_info() — —
• echo_success() — —
• echo_warning() — —
• echo_error() — —
• main() — —
• main() — —
• demo_hybrid() — Demonstracja generatora hybrydowego.
• demo_thermodynamic() — Demonstracja generatora termodynamicznego.
• demo_complete_hybrid() — Demonstracja pełnego generatora hybrydowego.
• main() — Główna funkcja demonstracyjna.
• demo_hybrid() — Demonstracja generatora hybrydowego.
• demo_thermodynamic_improved() — Demonstracja POPRAWIONEGO generatora termodynamicznego.
• demo_hybrid_thermodynamic_improved() — Demonstracja POPRAWIONEGO hybrydowego generatora.
• benchmark_latency() — Benchmark porównujący latencję przed/po poprawkach.
• main() — Główna funkcja demonstracyjna.
• demo_devops_automation() — Demonstracja automatyzacji DevOps.
• demo_hyperparameter_optimization() — Demonstracja optymalizacji hiperparametrów.
• demo_vehicle_routing() — Demonstracja optymalizacji tras dostaw.
• demo_or_scheduling() — Demonstracja harmonogramowania sal operacyjnych.
• demo_unit_commitment() — Demonstracja harmonogramowania elektrowni.
• demo_genomic_pipeline() — Demonstracja harmonogramowania pipeline'u genomicznego.
• main() — Uruchom wszystkie demonstracje.
• main() — Main integration function
• main() — Main function to apply all fixes
• main() — Main analysis function
• apply_refactor_to_keyword_detector() — Apply the refactored _detect_normalized method to KeywordIntentDetector.
• print_summary() — Print a summary of the refactoring work completed.
• restore_core() — Restore core.py from backup
• restore_adapters() — Restore adapters from backups
• verify_restoration() — Verify system restoration
• main() — Main restoration function
• apply_core_patch() — Apply core patch
• apply_adapter_patches() — Apply adapter patches
• verify_integration() — Verify integration
• main() — Main integration function
• apply_keywords_refactor() — Apply refactor to keywords.py file.
• apply_templates_refactor() — Apply refactor to templates.py file.
• main() — Main function to apply refactors.
• load_polish_patterns() — Load Polish shell patterns
• load_intent_mappings() — Load Polish intent mappings
• load_table_mappings() — Load Polish table mappings
• load_domain_weights() — Load domain weights
• apply_fixes() — Apply all fixes to the system
• find_line(pattern, start) — —
• write_mixin(filename, classname, docstring, body_lines) — Write a mixin file. body_lines are already indented with 4 spaces (class methods).
• apply_to_keywords_py() — Apply refactor to keywords.py file.
• apply_to_templates_py() — Apply refactor to templates.py file.
• create_patch_files() — Create patch files for manual application.
• main() — Main function to apply refactors.
• build_parser() — —
• git_tracked_python_files(workdir) — Return tracked Python files from the git repository.
• select_llx_model(workdir) — Select a model using LLX's project metrics and routing logic.
• build_prompt(workdir, metrics, file_count) — Build a refactor prompt for Aider.
• run_refactor(workdir, model, prompt, use_docker) — —
• main() — —
• generate_refactor_report() — Generate a detailed report of the refactoring work.
• apply_refactor_to_template_generator() — Apply the refactored _apply_shell_intent_specific_defaults method.
• main() — Main summary function
• main() — Apply all refactors and report results.
• main() — Main entry point.
• main(argv) — —
• image_similarity(img1, img2) — Oblicza podobieństwo między dwoma obrazami (0-100%).
• detect_changes(folder) — Wykrywa zmiany między kolejnymi zrzutami ekranu.
• create_diff_images(folder, output_folder) — Tworzy obrazy różnic między kolejnymi zrzutami.
• main() — —
• log() — —
• log_success() — —
• log_error() — —
• log_warning() — —
• calculate_file_hash(filepath) — Oblicza hash MD5 pliku.
• analyze_screenshots(folder) — Analizuje zrzuty ekranu w podanym folderze.
• resize_screenshots(folder, scale_factor) — Zmniejsza zrzuty ekranu o podany czynnik (domyślnie 30%).
• main() — Główna funkcja.

Project Structure

📄 .markdownlint 📄 CHANGELOG 📄 CONTRIBUTING 📄 Dockerfile 📄 INSTALLATION 📄 Makefile 📄 README 📄 REPO_SPLIT 📄 THERMODYNAMIC_ARCHITECTURE 📄 THERMODYNAMIC_INTEGRATION 📄 TODO 📄 TODO.chciałbym aby moja aplikacja realziowała złożone r 📄 TODO.co można zrobić z tego typu hardkodowanymi zmienny 📄 TODO.skad pobrac np 1000 takich obiektow, albo jeden pl 📄 TODO.skąd wziąć dane weektorowej postaci obeiktow jak z 📄 artifacts.benchmark_report 📄 artifacts.ci_test_results 📄 artifacts.comprehensive_test_results 📄 artifacts.enhanced_context_test_results 📄 artifacts.generated_commands 📄 artifacts.multi_site_test_results 📄 artifacts.nlp2cmd_monitoring_log 📄 artifacts.results.intelligent_nlp2cmd_results 📄 artifacts.results.test_results_no_llm 📄 artifacts.results.test_results_with_llm 📄 artifacts.sequential_benchmark_results 📄 artifacts.web_schema_test_results 📄 benchmark_output.benchmark_command_errors 📄 benchmark_output.benchmark_results 📄 benchmark_output.learning_benchmark 📄 benchmark_output.refactoring_plan 📄 benchmarks.README 📄 benchmarks.learning_benchmark (6 functions) 📄 benchmarks.llm_benchmark (14 functions, 2 classes) 📄 benchmarks.thermodynamic_benchmark (7 functions, 1 classes) 📄 code2llm_workaround 📄 command_schemas.browser.click 📄 command_schemas.browser.navigate 📄 command_schemas.browser.open_url 📄 command_schemas.browser.search 📄 command_schemas.browser.type_text 📄 command_schemas.commands.black 📄 command_schemas.commands.cat 📄 command_schemas.commands.chmod 📄 command_schemas.commands.cp 📄 command_schemas.commands.df 📄 command_schemas.commands.docker 📄 command_schemas.commands.docker.appspec 📄 command_schemas.commands.eslint 📄 command_schemas.commands.find 📄 command_schemas.commands.free 📄 command_schemas.commands.git 📄 command_schemas.commands.gpg 📄 command_schemas.commands.grep 📄 command_schemas.commands.iconv 📄 command_schemas.commands.iptables 📄 command_schemas.commands.jq 📄 command_schemas.commands.kubectl 📄 command_schemas.commands.kubectl.appspec 📄 command_schemas.commands.ls 📄 command_schemas.commands.lsof 📄 command_schemas.commands.make 📄 command_schemas.commands.mongodump 📄 command_schemas.commands.mv 📄 command_schemas.commands.mysql 📄 command_schemas.commands.mysqldump 📄 command_schemas.commands.netstat 📄 command_schemas.commands.nmap 📄 command_schemas.commands.node 📄 command_schemas.commands.npm 📄 command_schemas.commands.nslookup 📄 command_schemas.commands.openssl 📄 command_schemas.commands.pip 📄 command_schemas.commands.ps 📄 command_schemas.commands.psql 📄 command_schemas.commands.pytest 📄 command_schemas.commands.python3 📄 command_schemas.commands.rm 📄 command_schemas.commands.rsync 📄 command_schemas.commands.sed 📄 command_schemas.commands.sensors 📄 command_schemas.commands.sort 📄 command_schemas.commands.split 📄 command_schemas.commands.ssh-keygen 📄 command_schemas.commands.tar 📄 command_schemas.commands.traceroute 📄 command_schemas.commands.uptime 📄 command_schemas.commands.zip 📄 command_schemas.docker 📄 command_schemas.docker.appspec 📄 command_schemas.exports.all_schemas 📄 command_schemas.exports.batches.batch_1_detailed 📄 command_schemas.exports.batches.batch_1_test 📄 command_schemas.exports.batches.batch_2_test 📄 command_schemas.exports.batches.batch_3_final 📄 command_schemas.exports.batches.batch_3_test 📄 command_schemas.exports.batches.quick_batch_1_llm 📄 command_schemas.exports.batches.quick_batch_2_llm 📄 command_schemas.exports.batches.quick_batch_3_llm 📄 command_schemas.exports.dynamic.generated_docker_dynamic_schema 📄 command_schemas.exports.dynamic.generated_kubectl_dynamic_schema 📄 command_schemas.exports.generated_schemas 📄 command_schemas.exports.validated_schemas 📄 command_schemas.index 📄 command_schemas.keyboard.linux_shortcuts 📄 command_schemas.keyboard.macos_shortcuts 📄 command_schemas.keyboard.windows_shortcuts 📄 command_schemas.nginx 📄 config 📄 config.README 📄 config.litellm_config 📄 data.domain_weights 📄 data.enhanced_domain_patterns 📄 data.enhanced_intents 📄 data.entities.apps 📄 data.entities.colors 📄 data.entities.shapes 📄 data.form_schema 📄 data.intents.close_app 📄 data.intents.draw 📄 data.intents.email_check 📄 data.intents.email_compose 📄 data.intents.minimize_all 📄 data.intents.navigate 📄 data.intents.new_tab 📄 data.intents.open_app 📄 data.intents.screenshot 📄 data.patterns 📄 data.phrase_database 📄 data.polish_intent_mappings 📄 data.polish_shell_patterns 📄 data.polish_table_mappings 📄 data.prompt 📄 data.templates 📄 docker-compose 📄 docker.novnc.Dockerfile 📄 docker.novnc.demos.demo_desktop_gui (6 functions) 📄 docker.novnc.docker-compose 📄 docker.novnc.start-vnc 📄 docs.README 📄 docs.SCHEMA_VALIDATION_REPORT 📄 docs.api.README 📄 docs.architecture.CANVAS_DRAWING 📄 docs.architecture.DESKTOP_GUI_AUTOMATION 📄 docs.architecture.KEYWORD_DETECTION_FLOW 📄 docs.architecture.schema-system 📄 docs.architecture.thermodynamic-computing 📄 docs.architecture.web-automation 📄 docs.development.BENCHMARKING 📄 docs.development.FIREFOX_SESSION_INJECTION 📄 docs.development.SERVICE_MODE 📄 docs.development.STREAM_PROTOCOLS 📄 docs.maintainers.IMPROVEMENTS 📄 docs.maintainers.PROJECT_HISTORY 📄 docs.maintainers.README 📄 docs.maintainers.SCHEMA_CONSOLIDATION_SUMMARY 📄 docs.maintainers.TEST_SCRIPTS_README 📄 docs.maintainers.TODO 📄 docs.reference.cli-reference 📄 docs.reference.examples-guide 📄 docs.reference.python-api 📄 docs.user-guide.user-guide 📄 examples (1 functions) 📄 examples.01_basics.README 📄 examples.01_basics.app2schema.README 📄 examples.01_basics.app2schema.example (1 functions) 📄 examples.01_basics.app2schema.generated_appspec 📄 examples.01_basics.docker_basics.01_basics_docker_nlp2cmd (3 functions) 📄 examples.01_basics.docker_basics.command_schemas.commands.docker.appspec 📄 examples.01_basics.docker_basics.example (1 functions) 📄 examples.01_basics.docker_basics.file_repair (4 functions) 📄 examples.01_basics.kubernetes_basics.command_schemas.exports.dynamic.kubectl_dynamic_schema 📄 examples.01_basics.kubernetes_basics.example (1 functions) 📄 examples.01_basics.shell_fundamentals.01_basics_shell_nlp2cmd (3 functions) 📄 examples.01_basics.shell_fundamentals.README 📄 examples.01_basics.shell_fundamentals.appspec_cache 📄 examples.01_basics.shell_fundamentals.environment_analysis (2 functions) 📄 examples.01_basics.shell_fundamentals.example (1 functions) 📄 examples.01_basics.shell_fundamentals.feedback_loop (1 functions) 📄 examples.01_basics.shell_fundamentals.generated_shell_appspec 📄 examples.01_basics.shell_fundamentals.generated_shell_dynamic_schema 📄 examples.01_basics.shell_fundamentals.runtime_schemas 📄 examples.01_basics.shell_fundamentals.schema_cache (1 functions) 📄 examples.01_basics.sql_basics.README 📄 examples.01_basics.sql_basics.advanced (1 functions) 📄 examples.01_basics.sql_basics.example (1 functions) 📄 examples.01_basics.sql_basics.llm_integration (6 functions, 1 classes) 📄 examples.01_basics.sql_basics.workflows (2 functions) 📄 examples.02_benchmarks.README 📄 examples.02_benchmarks.performance_testing.README 📄 examples.02_benchmarks.performance_testing.benchmark (9 functions) 📄 examples.02_benchmarks.performance_testing.benchmark_report 📄 examples.02_benchmarks.sequential_testing.benchmark (3 functions) 📄 examples.02_benchmarks.sequential_testing.sequential_benchmark_results 📄 examples.03_integrations.README 📄 examples.03_integrations.pipelines.infrastructure_health (6 functions) 📄 examples.03_integrations.pipelines.log_analysis (4 functions) 📄 examples.03_integrations.toon_format.01_basic_usage.README 📄 examples.03_integrations.toon_format.01_basic_usage.demo (1 functions) 📄 examples.03_integrations.toon_format.01_basic_usage.run 📄 examples.03_integrations.toon_format.02_command_generator.README 📄 examples.03_integrations.toon_format.02_command_generator.demo (1 functions) 📄 examples.03_integrations.toon_format.02_command_generator.run 📄 examples.03_integrations.toon_format.03_data_manager.README 📄 examples.03_integrations.toon_format.03_data_manager.demo (1 functions) 📄 examples.03_integrations.toon_format.03_data_manager.run 📄 examples.03_integrations.toon_format.04_search_and_filter.README 📄 examples.03_integrations.toon_format.04_search_and_filter.demo (1 functions) 📄 examples.03_integrations.toon_format.04_search_and_filter.run 📄 examples.03_integrations.toon_format.05_advanced_patterns.README 📄 examples.03_integrations.toon_format.05_advanced_patterns.demo (1 functions) 📄 examples.03_integrations.toon_format.05_advanced_patterns.run 📄 examples.03_integrations.toon_format.06_old_system_mock.README 📄 examples.03_integrations.toon_format.06_old_system_mock.demo (4 functions, 1 classes) 📄 examples.03_integrations.toon_format.06_old_system_mock.run 📄 examples.03_integrations.toon_format.07_loading_performance.README 📄 examples.03_integrations.toon_format.07_loading_performance.demo (3 functions) 📄 examples.03_integrations.toon_format.07_loading_performance.run 📄 examples.03_integrations.toon_format.08_memory_usage.README 📄 examples.03_integrations.toon_format.08_memory_usage.demo (4 functions) 📄 examples.03_integrations.toon_format.08_memory_usage.run 📄 examples.03_integrations.toon_format.10_migration_guide.README 📄 examples.03_integrations.toon_format.10_migration_guide.run 📄 examples.03_integrations.toon_format.11_basic_integration.README 📄 examples.03_integrations.toon_format.11_basic_integration.demo (1 functions) 📄 examples.03_integrations.toon_format.11_basic_integration.run 📄 examples.03_integrations.toon_format.12_advanced_integration.README 📄 examples.03_integrations.toon_format.12_advanced_integration.demo (1 functions) 📄 examples.03_integrations.toon_format.12_advanced_integration.run 📄 examples.03_integrations.toon_format.13_query_system.README 📄 examples.03_integrations.toon_format.13_query_system.demo (1 functions) 📄 examples.03_integrations.toon_format.13_query_system.run 📄 examples.03_integrations.toon_format.14_batch_processing.README 📄 examples.03_integrations.toon_format.14_batch_processing.demo (3 functions) 📄 examples.03_integrations.toon_format.14_batch_processing.run 📄 examples.03_integrations.toon_format.README 📄 examples.03_integrations.toon_format.comparison_demo (16 functions, 2 classes) 📄 examples.03_integrations.toon_format.practical_usage (8 functions, 1 classes) 📄 examples.03_integrations.toon_format.simple_demo (6 functions) 📄 examples.03_integrations.toon_format.usage_example (1 functions) 📄 examples.03_integrations.validation.config_validation (3 functions) 📄 examples.03_integrations.web_development.01_basic_service_config.README 📄 examples.03_integrations.web_development.01_basic_service_config.demo (1 functions, 2 classes) 📄 examples.03_integrations.web_development.01_basic_service_config.run 📄 examples.03_integrations.web_development.02_deployment_planning.README 📄 examples.03_integrations.web_development.02_deployment_planning.demo (2 functions, 2 classes) 📄 examples.03_integrations.web_development.02_deployment_planning.run 📄 examples.03_integrations.web_development.03_docker_compose.README 📄 examples.03_integrations.web_development.03_docker_compose.demo (2 functions, 1 classes) 📄 examples.03_integrations.web_development.03_docker_compose.run 📄 examples.03_integrations.web_development.04_service_deployment.README 📄 examples.03_integrations.web_development.04_service_deployment.demo (1 functions, 1 classes) 📄 examples.03_integrations.web_development.04_service_deployment.run 📄 examples.03_integrations.web_development.05_infrastructure_management.README 📄 examples.03_integrations.web_development.05_infrastructure_management.demo (1 functions, 1 classes) 📄 examples.03_integrations.web_development.05_infrastructure_management.run 📄 examples.03_integrations.web_development.README 📄 examples.03_integrations.web_development.README_WEB_BACKEND 📄 examples.03_integrations.web_development.demo (3 functions) 📄 examples.03_integrations.web_development.demo_auto (6 functions) 📄 examples.03_integrations.web_development.demo_batch (5 functions) 📄 examples.03_integrations.web_development.nlp2cmd_web_controller (52 functions, 8 classes) 📄 examples.03_integrations.web_development.prompt 📄 examples.03_integrations.web_development.web_app_example (8 functions, 3 classes) 📄 examples.03_integrations.web_development.web_generated.chat-service-config 📄 examples.03_integrations.web_development.web_generated.chat-service-docker-compose 📦 examples.04_domain_specific 📄 examples.04_domain_specific.README 📄 examples.04_domain_specific.SUMMARY 📄 examples.04_domain_specific._demo_helpers (12 functions) 📄 examples.04_domain_specific.api_key_prompts (2 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.01_sequence_analysis.README 📄 examples.04_domain_specific.bioinformatics.01_sequence_analysis.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.01_sequence_analysis.run 📄 examples.04_domain_specific.bioinformatics.02_file_processing.README 📄 examples.04_domain_specific.bioinformatics.02_file_processing.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.02_file_processing.run 📄 examples.04_domain_specific.bioinformatics.03_blast_operations.README 📄 examples.04_domain_specific.bioinformatics.03_blast_operations.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.03_blast_operations.run 📄 examples.04_domain_specific.bioinformatics.04_data_conversion.README 📄 examples.04_domain_specific.bioinformatics.04_data_conversion.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.04_data_conversion.run 📄 examples.04_domain_specific.bioinformatics.05_pipeline_automation.README 📄 examples.04_domain_specific.bioinformatics.05_pipeline_automation.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.bioinformatics.05_pipeline_automation.run 📄 examples.04_domain_specific.bioinformatics.README 📄 examples.04_domain_specific.bioinformatics.complete_examples (7 functions) 📄 examples.04_domain_specific.bioinformatics.example (6 functions) 📄 examples.04_domain_specific.data_science.dsl_demo (11 functions) 📄 examples.04_domain_specific.data_science.example (5 functions) 📄 examples.04_domain_specific.debugging.01_python_api_concept.README 📄 examples.04_domain_specific.debugging.01_python_api_concept.demo (1 functions) 📄 examples.04_domain_specific.debugging.01_python_api_concept.run 📄 examples.04_domain_specific.debugging.02_shell_commands.README 📄 examples.04_domain_specific.debugging.02_shell_commands.demo (1 functions) 📄 examples.04_domain_specific.debugging.02_shell_commands.run 📄 examples.04_domain_specific.debugging.03_mixed_workflow.README 📄 examples.04_domain_specific.debugging.03_mixed_workflow.demo (1 functions) 📄 examples.04_domain_specific.debugging.03_mixed_workflow.run 📄 examples.04_domain_specific.debugging.04_advanced_patterns.README 📄 examples.04_domain_specific.debugging.04_advanced_patterns.demo (1 functions) 📄 examples.04_domain_specific.debugging.04_advanced_patterns.run 📄 examples.04_domain_specific.debugging.05_real_world_examples.README 📄 examples.04_domain_specific.debugging.05_real_world_examples.demo (1 functions) 📄 examples.04_domain_specific.debugging.05_real_world_examples.run 📄 examples.04_domain_specific.debugging.06_test_framework.README 📄 examples.04_domain_specific.debugging.06_test_framework.demo (4 functions, 2 classes) 📄 examples.04_domain_specific.debugging.06_test_framework.run 📄 examples.04_domain_specific.debugging.07_file_operations.README 📄 examples.04_domain_specific.debugging.07_file_operations.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.debugging.07_file_operations.run 📄 examples.04_domain_specific.debugging.08_system_commands.README 📄 examples.04_domain_specific.debugging.08_system_commands.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.debugging.08_system_commands.run 📄 examples.04_domain_specific.debugging.09_network_commands.README 📄 examples.04_domain_specific.debugging.09_network_commands.demo (1 functions, 1 classes) 📄 examples.04_domain_specific.debugging.09_network_commands.run 📄 examples.04_domain_specific.debugging.10_advanced_validation.README 📄 examples.04_domain_specific.debugging.10_advanced_validation.demo (5 functions, 2 classes) 📄 examples.04_domain_specific.debugging.10_advanced_validation.run 📄 examples.04_domain_specific.debugging.README 📄 examples.04_domain_specific.debugging.commands_demo 📄 examples.04_domain_specific.debugging.generator (1 functions) 📄 examples.04_domain_specific.debugging.intents (1 functions) 📄 examples.04_domain_specific.debugging.keywords (1 functions) 📄 examples.04_domain_specific.debugging.simple_demo (7 functions) 📄 examples.04_domain_specific.debugging.validation (7 functions, 2 classes) 📄 examples.04_domain_specific.debugging.validation_report 📄 examples.04_domain_specific.devops.example (4 functions) 📄 examples.04_domain_specific.drug_discovery.example (3 functions) 📄 examples.04_domain_specific.education.example (8 functions) 📄 examples.04_domain_specific.energy.example (8 functions) 📄 examples.04_domain_specific.finance.example (7 functions) 📄 examples.04_domain_specific.healthcare.example (8 functions) 📄 examples.04_domain_specific.logistics.example (7 functions) 📄 examples.04_domain_specific.physics.example (8 functions) 📄 examples.04_domain_specific.polish_llm_integration.01_pdf_extraction.README 📄 examples.04_domain_specific.polish_llm_integration.01_pdf_extraction.demo (5 functions, 1 classes) 📄 examples.04_domain_specific.polish_llm_integration.01_pdf_extraction.run 📄 examples.04_domain_specific.polish_llm_integration.02_text_chunking.README 📄 examples.04_domain_specific.polish_llm_integration.02_text_chunking.demo (4 functions, 1 classes) 📄 examples.04_domain_specific.polish_llm_integration.02_text_chunking.run 📄 examples.04_domain_specific.polish_llm_integration.03_llm_search.README 📄 examples.04_domain_specific.polish_llm_integration.03_llm_search.demo (5 functions, 1 classes) 📄 examples.04_domain_specific.polish_llm_integration.03_llm_search.run 📄 examples.04_domain_specific.polish_llm_integration.04_results_ranking.README 📄 examples.04_domain_specific.polish_llm_integration.04_results_ranking.demo (5 functions, 2 classes) 📄 examples.04_domain_specific.polish_llm_integration.04_results_ranking.run 📄 examples.04_domain_specific.polish_llm_integration.05_integration.README 📄 examples.04_domain_specific.polish_llm_integration.05_integration.demo (8 functions, 4 classes) 📄 examples.04_domain_specific.polish_llm_integration.05_integration.run 📄 examples.04_domain_specific.polish_llm_integration.README 📄 examples.04_domain_specific.polish_llm_integration.download_bielik (1 functions) 📄 examples.04_domain_specific.polish_llm_integration.example_pdf_search (9 functions, 2 classes) 📄 examples.04_domain_specific.polish_llm_integration.mock_test_polish_llm (7 functions, 2 classes) 📄 examples.04_domain_specific.polish_llm_integration.setup_and_test_bielik (8 functions, 1 classes) 📄 examples.04_domain_specific.run_all (2 functions) 📄 examples.04_domain_specific.smart_cities.example (8 functions) 📄 examples.05_advanced_features.README 📄 examples.05_advanced_features.dynamic_schemas.README 📄 examples.05_advanced_features.dynamic_schemas.demo_enhanced (1 functions) 📄 examples.05_advanced_features.dynamic_schemas.demo_intelligent_nlp2cmd (9 functions, 1 classes) 📄 examples.05_advanced_features.dynamic_schemas.demo_persistent_storage (2 functions) 📄 examples.05_advanced_features.dynamic_schemas.demo_schema_flow (4 functions) 📄 examples.05_advanced_features.dynamic_schemas.demo_version_detection (4 functions) 📄 examples.05_advanced_features.dynamic_schemas.example (1 functions) 📄 examples.05_advanced_features.dynamic_schemas.schema_flow_demo (4 functions) 📄 examples.05_advanced_features.dynamic_schemas.simple_schema_demo (1 functions) 📄 examples.05_advanced_features.schema_driven_architecture.01_architecture_overview.run 📄 examples.05_advanced_features.schema_driven_architecture.02_decision_router.README 📄 examples.05_advanced_features.schema_driven_architecture.02_decision_router.demo (3 functions, 2 classes) 📄 examples.05_advanced_features.schema_driven_architecture.02_decision_router.run 📄 examples.05_advanced_features.schema_driven_architecture.03_llm_planner.README 📄 examples.05_advanced_features.schema_driven_architecture.03_llm_planner.demo (2 functions, 2 classes) 📄 examples.05_advanced_features.schema_driven_architecture.03_llm_planner.run 📄 examples.05_advanced_features.schema_driven_architecture.04_plan_executor.README 📄 examples.05_advanced_features.schema_driven_architecture.04_plan_executor.demo (9 functions, 2 classes) 📄 examples.05_advanced_features.schema_driven_architecture.05_result_aggregator.README 📄 examples.05_advanced_features.schema_driven_architecture.05_result_aggregator.demo (6 functions, 3 classes) 📄 examples.05_advanced_features.schema_driven_architecture.05_result_aggregator.run 📄 examples.05_advanced_features.schema_driven_architecture.end_to_end_demo (7 functions) 📄 examples.05_advanced_features.schema_driven_architecture.manual_appspec (1 functions) 📄 examples.05_advanced_features.schema_driven_architecture.mvp (1 functions) 📄 examples.05_advanced_features.thermodynamic_computing.README 📄 examples.05_advanced_features.thermodynamic_computing.example (7 functions) 📄 examples.06_desktop_automation.00_full_lifecycle.README 📄 examples.06_desktop_automation.00_full_lifecycle.run (1 functions) 📄 examples.06_desktop_automation.01_terminal.README 📄 examples.06_desktop_automation.01_terminal.logs.session 📄 examples.06_desktop_automation.01_terminal.run 📄 examples.06_desktop_automation.02_calculator.README 📄 examples.06_desktop_automation.02_calculator.run 📄 examples.06_desktop_automation.03_text_editor.README 📄 examples.06_desktop_automation.03_text_editor.run 📄 examples.06_desktop_automation.04_browser_tabs.README 📄 examples.06_desktop_automation.04_browser_tabs.run 📄 examples.06_desktop_automation.05_email_client.README 📄 examples.06_desktop_automation.05_email_client.run 📄 examples.06_desktop_automation.06_env_extract.README 📄 examples.06_desktop_automation.06_env_extract.run (1 functions) 📄 examples.06_desktop_automation.07_canvas_drawing.README 📄 examples.06_desktop_automation.07_canvas_drawing.run (1 functions) 📄 examples.06_desktop_automation.08_captcha_solver.README 📄 examples.06_desktop_automation.08_captcha_solver.run (1 functions) 📄 examples.06_desktop_automation.09_complex_commands.README 📄 examples.06_desktop_automation.09_complex_commands.run (1 functions) 📄 examples.06_desktop_automation.README 📄 examples.06_desktop_automation.calculator_session 📄 examples.06_desktop_automation.multi_app_session 📄 examples.06_desktop_automation.terminal_session 📄 examples.06_tools_and_utilities.README 📄 examples.06_tools_and_utilities.migration_tools.README 📄 examples.06_tools_and_utilities.migration_tools.demo_versioned_schemas (4 functions) 📄 examples.06_tools_and_utilities.migration_tools.guide (6 functions) 📄 examples.07_browser_automation.01_screenshot_only 📄 examples.07_browser_automation.02_video_only 📄 examples.07_browser_automation.03_interactive_mode 📄 examples.07_browser_automation.04_oferteo_extraction 📄 examples.07_browser_automation.05_simple_formfill 📄 examples.07_browser_automation.06_formfill_with_discovery 📄 examples.07_browser_automation.07_batch_multiple 📄 examples.07_browser_automation.README 📄 examples.07_stream_protocols.README 📄 examples.07_stream_protocols.example_http_api (1 functions) 📄 examples.07_stream_protocols.example_libvirt (1 functions) 📄 examples.07_stream_protocols.example_multi_stream (1 functions) 📄 examples.07_stream_protocols.example_rtsp (1 functions) 📄 examples.07_stream_protocols.example_ssh (1 functions) 📄 examples.08_api_key_management.01_diagnose_credentials.run (1 functions) 📄 examples.08_api_key_management.01_diagnose_credentials_nlp2cmd (3 functions) 📄 examples.08_api_key_management.02_openrouter_key.run (3 functions) 📄 examples.08_api_key_management.03_github_token.run (3 functions) 📄 examples.08_api_key_management.04_huggingface_token.run (3 functions) 📄 examples.08_api_key_management.05_openai_key.run (3 functions) 📄 examples.08_api_key_management.06_multi_provider.run (5 functions) 📄 examples.08_api_key_management.README 📄 examples.08_llm_validation.README 📄 examples.08_llm_validation.benchmark_after 📄 examples.08_llm_validation.benchmark_before 📄 examples.08_llm_validation.benchmark_validator (3 functions, 2 classes) 📄 examples.08_llm_validation.demo_validation 📄 examples.08_llm_validation.test_feedback_results 📄 examples.08_llm_validation.test_results 📄 examples.09_online_drawing.01_draw_chat.README 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_142425 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_142636 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_142823 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_143953 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_144325 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_144543 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_170506 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_170729 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_170742 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_170840 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_171110 📄 examples.09_online_drawing.01_draw_chat.logs.01_draw_chat_20260303_171804 📄 examples.09_online_drawing.01_draw_chat.run (1 functions) 📄 examples.09_online_drawing.02_picsart.README 📄 examples.09_online_drawing.02_picsart.logs.02_picsart_20260303_142942 📄 examples.09_online_drawing.02_picsart.logs.02_picsart_20260303_144722 📄 examples.09_online_drawing.02_picsart.logs.02_picsart_20260303_144922 📄 examples.09_online_drawing.02_picsart.logs.02_picsart_20260303_171011 📄 examples.09_online_drawing.02_picsart.run (1 functions) 📄 examples.09_online_drawing.03_adaptive.README 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_143144 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_145059 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_145342 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_170902 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_170926 📄 examples.09_online_drawing.03_adaptive.logs.03_adaptive_20260303_171825 📄 examples.09_online_drawing.03_adaptive.run (1 functions) 📄 examples.09_online_drawing.04_object_database.README 📄 examples.09_online_drawing.04_object_database.run (4 functions) 📄 examples.09_online_drawing.05_autonomous.README 📄 examples.09_online_drawing.05_autonomous.run (3 functions) 📄 examples.09_online_drawing.06_visual_validator.README 📄 examples.09_online_drawing.06_visual_validator.logs.validation_star_red 📄 examples.09_online_drawing.06_visual_validator.run (4 functions) 📄 examples.09_online_drawing.07_shape_gallery.README 📄 examples.09_online_drawing.07_shape_gallery.run (8 functions) 📄 examples.09_online_drawing.08_search_demo.README 📄 examples.09_online_drawing.08_search_demo.run (2 functions) 📄 examples.09_online_drawing.09_evolutionary_orchestrator.README 📄 examples.09_online_drawing.09_evolutionary_orchestrator.run (5 functions) 📄 examples.09_online_drawing.ANALYSIS 📄 examples.09_online_drawing.CHANGELOG 📄 examples.09_online_drawing.README 📄 examples.09_online_drawing._old.01_draw_chat_shapes (1 functions) 📄 examples.09_online_drawing._old.01_draw_chat_shapes_nlp2cmd (4 functions) 📄 examples.09_online_drawing._old.02_picsart_painting (1 functions) 📄 examples.09_online_drawing._old.02_picsart_painting_nlp2cmd (4 functions) 📄 examples.09_online_drawing._old.03_adaptive_drawing (2 functions) 📄 examples.09_online_drawing._old.03_adaptive_drawing_nlp2cmd (4 functions) 📄 examples.09_online_drawing._old.04_object_database_drawing (15 functions, 3 classes) 📄 examples.09_online_drawing._old.05_autonomous_drawing (4 functions) 📄 examples.09_online_drawing._run_utils (22 functions, 2 classes) 📄 examples.09_online_drawing.run (4 functions) 📄 examples.10_online_code_editors.01_codepen_live (4 functions) 📄 examples.10_online_code_editors.01_codepen_live_nlp2cmd (3 functions) 📄 examples.10_online_code_editors.02_mycompiler_run (1 functions) 📄 examples.10_online_code_editors.02_mycompiler_run_nlp2cmd (3 functions) 📄 examples.10_online_code_editors.03_adaptive_code (4 functions) 📄 examples.10_online_code_editors.03_adaptive_code_nlp2cmd (2 functions) 📄 examples.10_online_code_editors.04_jsfiddle_frontend (1 functions) 📄 examples.10_online_code_editors.04_jsfiddle_frontend_nlp2cmd (3 functions) 📄 examples.10_online_code_editors.05_dynamic_executor (2 functions) 📄 examples.10_online_code_editors.05_dynamic_executor_nlp2cmd (2 functions) 📄 examples.10_online_code_editors.README 📄 examples.MAKEFILE_PROSTY 📄 examples.Makefile 📄 examples.README 📄 examples.README_NLP2CMD 📄 examples._dynamic_orchestrator (2 functions, 1 classes) 📄 examples._example_helpers (2 functions) 📄 examples._verbose_helper (9 functions) 📄 examples.demo_screenshot_video 📄 examples.run_examples (10 functions) 📄 examples.run_task (1 functions) 📄 examples.show_metrics (1 functions) 📄 generate_chunks 📄 generate_quick 📄 generate_working 📄 generated_appspec 📄 goal 📄 install_vnc 📄 jspaint_app_test4 (1 functions) 📄 manual_appspec 📄 oferteo_pl_data 📄 out_call_graph 📄 out_function_entries 📄 out_interprocedural_decision_paths 📄 planfile 📄 prefact 📄 project 📄 projektor 📄 pyproject 📄 pyqual 📄 pytest 📄 requirements 📄 requirements-enhanced 📄 requirements-minimal 📄 requirements-thermodynamic 📄 requirements.llm 📄 run_all_tests 📄 run_test 📄 scripts.bump_version (1 functions) 📄 scripts.install_desktop_tools (5 functions) 📄 scripts.maintenance.apply_complexity_refactors (1 functions) 📄 scripts.maintenance.apply_nlp2cmd_fixes (5 functions) 📄 scripts.maintenance.apply_polish_integration (4 functions) 📄 scripts.maintenance.apply_refactors_to_source (4 functions) 📄 scripts.maintenance.auto_apply_refactors (3 functions) 📄 scripts.maintenance.cyclomatic_complexity_refactor_report 📄 scripts.maintenance.final_analysis_and_next_steps (10 functions, 1 classes) 📄 scripts.maintenance.final_project_summary (10 functions, 1 classes) 📄 scripts.maintenance.fix_comprehensive_test_issues (9 functions, 1 classes) 📄 scripts.maintenance.generate_refactor_report (1 functions) 📄 scripts.maintenance.implement_core_integration (10 functions, 1 classes) 📄 scripts.maintenance.implement_high_priority_fixes (10 functions, 1 classes) 📄 scripts.maintenance.llx_refactor (6 functions) 📄 scripts.maintenance.refactor_detect_normalized (10 functions) 📄 scripts.maintenance.refactor_shell_entities (11 functions) 📄 scripts.maintenance.refactoring_summary (1 functions) 📄 scripts.maintenance.restore_system (4 functions) 📄 scripts.maintenance.split_pipeline_runner (2 functions) 📄 scripts.setup_external (1 functions) 📄 scripts.test_commands_docker 📄 scripts.testing.compare_entity_extractors (7 functions) 📄 scripts.testing.run_e2e_tests (16 functions, 1 classes) 📄 scripts.thermodynamic.termo (4 functions) 📄 scripts.thermodynamic.termo1 (1 functions) 📄 scripts.thermodynamic.termo2 (38 functions, 12 classes) 📄 scripts.thermodynamic.termo_demo (5 functions) 📦 src.app2schema 📄 src.app2schema.__main__ 📄 src.app2schema.cli (1 functions) 📄 src.app2schema.extract (15 functions, 2 classes) 📦 src.nlp2cmd 📄 src.nlp2cmd.__main__ 📦 src.nlp2cmd.adapters 📄 src.nlp2cmd.adapters.appspec (6 functions, 2 classes) 📄 src.nlp2cmd.adapters.base (12 functions, 3 classes) 📄 src.nlp2cmd.adapters.browser (26 functions, 2 classes) 📄 src.nlp2cmd.adapters.canvas (12 functions, 4 classes) 📄 src.nlp2cmd.adapters.desktop (21 functions, 3 classes) 📄 src.nlp2cmd.adapters.docker (19 functions, 3 classes) 📄 src.nlp2cmd.adapters.dql (13 functions, 3 classes) 📄 src.nlp2cmd.adapters.dynamic (21 functions, 2 classes) 📄 src.nlp2cmd.adapters.kubernetes (23 functions, 3 classes) 📄 src.nlp2cmd.adapters.shell (13 functions, 3 classes) 📄 src.nlp2cmd.adapters.shell_generators (11 functions, 8 classes) 📄 src.nlp2cmd.adapters.sql (15 functions, 3 classes) 📦 src.nlp2cmd.aggregator (11 functions, 3 classes) 📄 src.nlp2cmd.appspec_runtime (2 functions, 2 classes) 📦 src.nlp2cmd.automation 📄 src.nlp2cmd.automation.action_planner (27 functions, 3 classes) 📄 src.nlp2cmd.automation.captcha_solver (10 functions, 2 classes) 📄 src.nlp2cmd.automation.complex_planner (10 functions, 3 classes) 📄 src.nlp2cmd.automation.drawing_blueprints (18 functions, 1 classes) 📄 src.nlp2cmd.automation.env_extractor (11 functions, 2 classes) 📄 src.nlp2cmd.automation.feedback_loop (9 functions, 6 classes) 📄 src.nlp2cmd.automation.firefox_sessions (11 functions, 1 classes) 📄 src.nlp2cmd.automation.mouse_controller (23 functions, 2 classes) 📄 src.nlp2cmd.automation.password_store (24 functions, 6 classes) 📄 src.nlp2cmd.automation.schema_fallback (17 functions, 3 classes) 📄 src.nlp2cmd.automation.service_configs (2 functions) 📄 src.nlp2cmd.automation.shape_planner (5 functions, 1 classes) 📄 src.nlp2cmd.automation.step_validator (18 functions, 3 classes) 📄 src.nlp2cmd.automation.vector_store (15 functions, 2 classes) 📦 src.nlp2cmd.browser_manager 📄 src.nlp2cmd.browser_manager.base (1 functions, 3 classes) 📄 src.nlp2cmd.browser_manager.browser_connector (4 functions, 1 classes) 📄 src.nlp2cmd.browser_manager.cdp_detector (4 functions, 1 classes) 📄 src.nlp2cmd.browser_manager.existing_browser_manager (3 functions, 1 classes) 📄 src.nlp2cmd.browser_manager.token_navigator (3 functions, 2 classes) 📦 src.nlp2cmd.browser_token 📄 src.nlp2cmd.browser_token.base (2 classes) 📄 src.nlp2cmd.browser_token.browser_launcher (4 functions, 1 classes) 📄 src.nlp2cmd.browser_token.hf_token_retriever (2 functions, 1 classes) 📄 src.nlp2cmd.browser_token.token_navigator (4 functions, 2 classes) 📄 src.nlp2cmd.browser_token.token_prompt_handler (5 functions, 1 classes) 📦 src.nlp2cmd.canvas_planner 📄 src.nlp2cmd.canvas_planner.base (6 functions, 2 classes) 📄 src.nlp2cmd.canvas_planner.blueprint_planner (2 functions, 1 classes) 📄 src.nlp2cmd.canvas_planner.llm_planner (4 functions, 1 classes) 📄 src.nlp2cmd.canvas_planner.orchestrator (7 functions, 1 classes) 📄 src.nlp2cmd.canvas_planner.rule_planner (8 functions, 1 classes) 📄 src.nlp2cmd.canvas_planner.vector_planner (6 functions, 1 classes) 📦 src.nlp2cmd.cli 📄 src.nlp2cmd.cli.auto_repair (12 functions, 3 classes) 📄 src.nlp2cmd.cli.cache (9 functions) 📦 src.nlp2cmd.cli.commands 📄 src.nlp2cmd.cli.commands.doctor (23 functions, 3 classes) 📄 src.nlp2cmd.cli.commands.examples (13 functions, 3 classes) 📄 src.nlp2cmd.cli.commands.generate (4 functions) 📄 src.nlp2cmd.cli.commands.interactive (9 functions, 1 classes) 📄 src.nlp2cmd.cli.commands.run (4 functions) 📄 src.nlp2cmd.cli.commands.tools (3 functions) 📄 src.nlp2cmd.cli.debug_info (3 functions) 📄 src.nlp2cmd.cli.display (12 functions) 📄 src.nlp2cmd.cli.helpers (10 functions) 📄 src.nlp2cmd.cli.history (6 functions) 📄 src.nlp2cmd.cli.main (13 functions) 📄 src.nlp2cmd.cli.markdown_output (14 functions, 2 classes) 📄 src.nlp2cmd.cli.session_logger (12 functions, 1 classes) 📄 src.nlp2cmd.cli.syntax_cache (8 functions, 1 classes) 📄 src.nlp2cmd.cli.web_schema (5 functions) 📦 src.nlp2cmd.context 📄 src.nlp2cmd.context.disambiguator (5 functions, 2 classes) 📦 src.nlp2cmd.core 📄 src.nlp2cmd.core.core_backends (12 functions, 4 classes) 📄 src.nlp2cmd.core.core_models (12 functions, 5 classes) 📄 src.nlp2cmd.core.core_transform (22 functions, 1 classes) 📄 src.nlp2cmd.core.toon_integration (32 functions, 1 classes) 📄 src.nlp2cmd.data.browser_config.contact_paths 📄 src.nlp2cmd.data.browser_config.junk_field_patterns 📄 src.nlp2cmd.data.browser_config.selectors 📄 src.nlp2cmd.data.command_detector 📄 src.nlp2cmd.data.config.intents 📄 src.nlp2cmd.data.config.services 📄 src.nlp2cmd.data.defaults 📄 src.nlp2cmd.data.expanded_phrases 📄 src.nlp2cmd.data.form_data 📄 src.nlp2cmd.data.form_schema 📄 src.nlp2cmd.data.keyword_intent_detector_config 📄 src.nlp2cmd.data.multilingual_phrases 📄 src.nlp2cmd.data.optimization_schema 📄 src.nlp2cmd.data.patterns 📄 src.nlp2cmd.data.phrase_database 📄 src.nlp2cmd.data.router_config 📄 src.nlp2cmd.data.semantic_embeddings 📄 src.nlp2cmd.data.shell_execution_policy 📄 src.nlp2cmd.data.templates 📦 src.nlp2cmd.desktop_executor 📄 src.nlp2cmd.desktop_executor.backend_detector (6 functions, 1 classes) 📄 src.nlp2cmd.desktop_executor.base (3 functions, 4 classes) 📄 src.nlp2cmd.desktop_executor.browser_controller (5 functions, 1 classes) 📄 src.nlp2cmd.desktop_executor.desktop_action_executor (13 functions, 1 classes) 📄 src.nlp2cmd.desktop_executor.env_manager (4 functions, 1 classes) 📄 src.nlp2cmd.desktop_executor.keyboard_controller (11 functions, 1 classes) 📄 src.nlp2cmd.desktop_executor.window_manager (5 functions, 1 classes) 📦 src.nlp2cmd.dom_actions 📄 src.nlp2cmd.dom_actions.base (3 functions, 3 classes) 📄 src.nlp2cmd.dom_actions.companies (8 functions, 1 classes) 📄 src.nlp2cmd.dom_actions.dispatcher (4 functions, 1 classes) 📄 src.nlp2cmd.dom_actions.forms (8 functions, 1 classes) 📄 src.nlp2cmd.dom_actions.navigation (3 functions, 3 classes) 📄 src.nlp2cmd.dom_actions.registry (7 functions, 1 classes) 📄 src.nlp2cmd.dom_actions.save (6 functions, 2 classes) 📦 src.nlp2cmd.enhanced (11 functions, 1 classes) 📦 src.nlp2cmd.environment (15 functions, 4 classes) 📦 src.nlp2cmd.evolutionary 📄 src.nlp2cmd.evolutionary.engine (4 functions, 1 classes) 📄 src.nlp2cmd.evolutionary.planner (17 functions, 1 classes) 📄 src.nlp2cmd.evolutionary.runner (4 functions, 1 classes) 📄 src.nlp2cmd.evolutionary.store (7 functions, 1 classes) 📄 src.nlp2cmd.evolutionary.types (3 classes) 📄 src.nlp2cmd.evolutionary_orchestrator 📦 src.nlp2cmd.execution 📄 src.nlp2cmd.execution.base (2 functions, 3 classes) 📄 src.nlp2cmd.execution.browser (15 functions, 2 classes) 📄 src.nlp2cmd.execution.executor_registry (7 functions, 1 classes) 📄 src.nlp2cmd.execution.media_recorder (7 functions, 1 classes) 📄 src.nlp2cmd.execution.runner (10 functions, 3 classes) 📄 src.nlp2cmd.execution.shell_executor (6 functions, 1 classes) 📦 src.nlp2cmd.executor (18 functions, 8 classes) 📦 src.nlp2cmd.exploration 📄 src.nlp2cmd.exploration.base (12 functions, 4 classes) 📄 src.nlp2cmd.exploration.data_tree (12 functions, 3 classes) 📄 src.nlp2cmd.exploration.disk (14 functions, 2 classes) 📄 src.nlp2cmd.exploration.resource_discovery (10 functions, 3 classes) 📄 src.nlp2cmd.exploration.service (11 functions, 3 classes) 📦 src.nlp2cmd.feedback (19 functions, 5 classes) 📦 src.nlp2cmd.generation (2 functions) 📄 src.nlp2cmd.generation.auto_repair (12 functions, 1 classes) 📄 src.nlp2cmd.generation.complex_detector (1 functions, 2 classes) 📄 src.nlp2cmd.generation.data_loader (28 functions, 3 classes) 📄 src.nlp2cmd.generation.enhanced_context (14 functions, 2 classes) 📄 src.nlp2cmd.generation.evolutionary_cache (24 functions, 3 classes) 📄 src.nlp2cmd.generation.fuzzy_schema_matcher (23 functions, 4 classes) 📄 src.nlp2cmd.generation.hybrid (12 functions, 4 classes) 📦 src.nlp2cmd.generation.keywords 📄 src.nlp2cmd.generation.keywords.keyword_detector (21 functions, 2 classes) 📄 src.nlp2cmd.generation.keywords.keyword_patterns (15 functions, 1 classes) 📄 src.nlp2cmd.generation.llm_multi (10 functions, 5 classes) 📄 src.nlp2cmd.generation.llm_simple (19 functions, 10 classes) 📄 src.nlp2cmd.generation.ml_intent_classifier (14 functions, 3 classes) 📄 src.nlp2cmd.generation.multi_command (8 functions, 2 classes) 📄 src.nlp2cmd.generation.pipeline (15 functions, 1 classes) 📄 src.nlp2cmd.generation.pipeline_components (10 functions, 3 classes) 📄 src.nlp2cmd.generation.regex (12 functions, 3 classes) 📦 src.nlp2cmd.generation.schema 📄 src.nlp2cmd.generation.schema.adapter (10 functions, 1 classes) 📄 src.nlp2cmd.generation.schema.generator (15 functions, 2 classes) 📄 src.nlp2cmd.generation.semantic_entities (7 functions, 1 classes) 📄 src.nlp2cmd.generation.semantic_matcher_optimized (30 functions, 3 classes) 📄 src.nlp2cmd.generation.structured (7 functions, 5 classes) 📄 src.nlp2cmd.generation.template_generator (100 functions, 2 classes) 📦 src.nlp2cmd.generation.templates 📄 src.nlp2cmd.generation.templates.api_templates 📄 src.nlp2cmd.generation.templates.browser_templates 📄 src.nlp2cmd.generation.templates.data_templates 📄 src.nlp2cmd.generation.templates.desktop_templates 📄 src.nlp2cmd.generation.templates.devops_templates 📄 src.nlp2cmd.generation.templates.docker_templates 📄 src.nlp2cmd.generation.templates.ffmpeg_templates 📄 src.nlp2cmd.generation.templates.git_templates 📄 src.nlp2cmd.generation.templates.iot_templates 📄 src.nlp2cmd.generation.templates.kubernetes_templates 📄 src.nlp2cmd.generation.templates.media_templates 📄 src.nlp2cmd.generation.templates.package_mgmt_templates 📄 src.nlp2cmd.generation.templates.presentation_templates 📄 src.nlp2cmd.generation.templates.rag_templates 📄 src.nlp2cmd.generation.templates.remote_templates 📄 src.nlp2cmd.generation.templates.shell_templates 📄 src.nlp2cmd.generation.templates.sql_templates 📄 src.nlp2cmd.generation.thermodynamic (14 functions, 5 classes) 📄 src.nlp2cmd.generation.thermodynamic_components (11 functions, 4 classes) 📄 src.nlp2cmd.generation.train_model (7 functions) 📄 src.nlp2cmd.generation.validating (9 functions, 8 classes) 📦 src.nlp2cmd.history 📄 src.nlp2cmd.history.tracker (18 functions, 3 classes) 📄 src.nlp2cmd.intelligent.command_detector (5 functions, 2 classes) 📄 src.nlp2cmd.intelligent.dynamic_generator (6 functions, 1 classes) 📄 src.nlp2cmd.intelligent.version_aware_generator (11 functions, 1 classes) 📄 src.nlp2cmd.ir (1 functions, 1 classes) 📦 src.nlp2cmd.llm 📄 src.nlp2cmd.llm.adaptive_learner (21 functions, 4 classes) 📄 src.nlp2cmd.llm.openrouter (8 functions, 2 classes) 📄 src.nlp2cmd.llm.repair (7 functions, 2 classes) 📄 src.nlp2cmd.llm.router (22 functions, 3 classes) 📄 src.nlp2cmd.llm.validator (13 functions, 2 classes) 📄 src.nlp2cmd.llm.vision (9 functions, 2 classes) 📦 src.nlp2cmd.monitoring 📄 src.nlp2cmd.monitoring.resources (11 functions, 2 classes) 📄 src.nlp2cmd.monitoring.token_costs (10 functions, 2 classes) 📦 src.nlp2cmd.nlp 📄 src.nlp2cmd.nlp.config (19 functions, 4 classes) 📄 src.nlp2cmd.nlp.entity_resolver (17 functions, 2 classes) 📄 src.nlp2cmd.nlp.intent_matcher (10 functions, 3 classes) 📄 src.nlp2cmd.nlp.normalizer (13 functions, 2 classes) 📦 src.nlp2cmd.nlp_enhanced (14 functions, 2 classes) 📦 src.nlp2cmd.nlp_light 📄 src.nlp2cmd.nlp_light.semantic_shell (14 functions, 2 classes) 📄 src.nlp2cmd.optimization_report 📦 src.nlp2cmd.orchestration 📄 src.nlp2cmd.orchestration.engine (13 functions, 6 classes) 📄 src.nlp2cmd.orchestration.handlers (19 functions) 📄 src.nlp2cmd.orchestration.metrics (27 functions, 7 classes) 📄 src.nlp2cmd.orchestration.reflection (9 functions, 3 classes) 📦 src.nlp2cmd.page_analysis 📄 src.nlp2cmd.page_analysis.base (1 functions, 2 classes) 📄 src.nlp2cmd.page_analysis.field_classifier (4 functions, 1 classes) 📄 src.nlp2cmd.page_analysis.form_analyzer (7 functions, 1 classes) 📄 src.nlp2cmd.page_analysis.iframe_analyzer (2 functions, 1 classes) 📄 src.nlp2cmd.page_analysis.link_extractor (4 functions, 1 classes) 📄 src.nlp2cmd.page_analysis.page_analyzer (3 functions, 1 classes) 📦 src.nlp2cmd.page_schema 📄 src.nlp2cmd.page_schema.base (3 functions, 2 classes) 📄 src.nlp2cmd.page_schema.button_extractor (2 functions, 1 classes) 📄 src.nlp2cmd.page_schema.copy_button_extractor (2 functions, 1 classes) 📄 src.nlp2cmd.page_schema.form_extractor (2 functions, 1 classes) 📄 src.nlp2cmd.page_schema.page_schema_extractor (3 functions, 1 classes) 📄 src.nlp2cmd.page_schema.radio_extractor (2 functions, 1 classes) 📄 src.nlp2cmd.page_schema.token_extractor (2 functions, 1 classes) 📄 src.nlp2cmd.parsing.toon_parser (22 functions, 3 classes) 📄 src.nlp2cmd.pipeline_runner (2 functions, 2 classes) 📄 src.nlp2cmd.pipeline_runner_browser (3 functions, 1 classes) 📄 src.nlp2cmd.pipeline_runner_desktop (8 functions, 1 classes) 📄 src.nlp2cmd.pipeline_runner_plans (13 functions, 1 classes) 📄 src.nlp2cmd.pipeline_runner_shell (3 functions, 1 classes) 📄 src.nlp2cmd.pipeline_runner_utils (19 functions, 4 classes) 📦 src.nlp2cmd.plan_execution 📄 src.nlp2cmd.plan_execution.browser_setup (6 functions, 2 classes) 📄 src.nlp2cmd.plan_execution.plan_executor (17 functions, 1 classes) 📄 src.nlp2cmd.plan_execution.step_orchestrator (12 functions, 2 classes) 📦 src.nlp2cmd.planner (7 functions, 3 classes) 📄 src.nlp2cmd.polish_support (13 functions, 1 classes) 📦 src.nlp2cmd.registry (22 functions, 6 classes) 📦 src.nlp2cmd.router (11 functions, 4 classes) 📦 src.nlp2cmd.schema_based 📄 src.nlp2cmd.schema_based.adapter 📄 src.nlp2cmd.schema_based.generator 📄 src.nlp2cmd.schema_driven (8 functions, 2 classes) 📦 src.nlp2cmd.schema_extraction 📄 src.nlp2cmd.schema_extraction.extractors (10 functions, 5 classes) 📄 src.nlp2cmd.schema_extraction.llm_extractor (11 functions, 1 classes) 📄 src.nlp2cmd.schema_extraction.python_extractors (11 functions, 2 classes) 📄 src.nlp2cmd.schema_extraction.registry (11 functions, 1 classes) 📄 src.nlp2cmd.schema_extraction.script_extractors (6 functions, 2 classes) 📦 src.nlp2cmd.schemas (43 functions, 2 classes) 📦 src.nlp2cmd.service (11 functions, 4 classes) 📄 src.nlp2cmd.service.cli (1 functions) 📄 src.nlp2cmd.service.docker_app 📦 src.nlp2cmd.skills (1 functions) 📦 src.nlp2cmd.skills.drawing 📄 src.nlp2cmd.skills.drawing.colors (6 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.commands (19 functions, 8 classes) 📄 src.nlp2cmd.skills.drawing.correction_engine (9 functions, 5 classes) 📄 src.nlp2cmd.skills.drawing.draw_object (11 functions, 4 classes) 📄 src.nlp2cmd.skills.drawing.event_store (13 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.events (7 functions, 7 classes) 📄 src.nlp2cmd.skills.drawing.navigation (15 functions, 5 classes) 📄 src.nlp2cmd.skills.drawing.nl_parser (7 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.object_fetcher (13 functions, 6 classes) 📄 src.nlp2cmd.skills.drawing.queries (7 functions, 6 classes) 📦 src.nlp2cmd.skills.drawing.renderers 📄 src.nlp2cmd.skills.drawing.renderers.base (8 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.renderers.playwright (8 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.renderers.svg (8 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.shapes (38 functions, 35 classes) 📄 src.nlp2cmd.skills.drawing.skill (18 functions, 1 classes) 📄 src.nlp2cmd.skills.drawing.text_to_shape (9 functions, 3 classes) 📄 src.nlp2cmd.skills.drawing.validation (14 functions, 5 classes) 📄 src.nlp2cmd.skills.drawing.visual_validator (8 functions, 4 classes) 📦 src.nlp2cmd.skills.search (1 functions) 📄 src.nlp2cmd.skills.search.engine (20 functions, 3 classes) 📄 src.nlp2cmd.skills.search.skill (9 functions, 2 classes) 📦 src.nlp2cmd.step_handlers 📄 src.nlp2cmd.step_handlers.base (3 functions, 3 classes) 📄 src.nlp2cmd.step_handlers.dispatcher (4 functions, 1 classes) 📄 src.nlp2cmd.step_handlers.drawing (23 functions, 19 classes) 📄 src.nlp2cmd.step_handlers.extraction (10 functions, 8 classes) 📄 src.nlp2cmd.step_handlers.interaction (10 functions, 10 classes) 📄 src.nlp2cmd.step_handlers.navigate (2 functions, 1 classes) 📄 src.nlp2cmd.step_handlers.registry (7 functions, 1 classes) 📄 src.nlp2cmd.step_handlers.session (10 functions, 3 classes) 📦 src.nlp2cmd.storage 📄 src.nlp2cmd.storage.per_command_store (14 functions, 1 classes) 📄 src.nlp2cmd.storage.versioned_store (13 functions, 1 classes) 📦 src.nlp2cmd.streams 📄 src.nlp2cmd.streams.base (10 functions, 3 classes) 📄 src.nlp2cmd.streams.ftp_stream (4 functions, 1 classes) 📄 src.nlp2cmd.streams.http_stream (3 functions, 1 classes) 📄 src.nlp2cmd.streams.libvirt_stream (14 functions, 1 classes) 📄 src.nlp2cmd.streams.rdp_stream (3 functions, 1 classes) 📄 src.nlp2cmd.streams.router (7 functions, 1 classes) 📄 src.nlp2cmd.streams.rtsp_stream (17 functions, 1 classes) 📄 src.nlp2cmd.streams.spice_stream (3 functions, 1 classes) 📄 src.nlp2cmd.streams.ssh_stream (8 functions, 1 classes) 📄 src.nlp2cmd.streams.vnc_stream (7 functions, 1 classes) 📄 src.nlp2cmd.streams.ws_stream (8 functions, 1 classes) 📦 src.nlp2cmd.thermodynamic (25 functions, 10 classes) 📄 src.nlp2cmd.thermodynamic.energy_models (21 functions, 6 classes) 📦 src.nlp2cmd.utils 📄 src.nlp2cmd.utils.data_files (6 functions) 📄 src.nlp2cmd.utils.external_cache (13 functions, 1 classes) 📄 src.nlp2cmd.utils.playwright_installer (6 functions) 📄 src.nlp2cmd.utils.yaml_compat 📦 src.nlp2cmd.validators (25 functions, 8 classes) 📦 src.nlp2cmd.web_schema 📄 src.nlp2cmd.web_schema.browser_config (23 functions, 2 classes) 📄 src.nlp2cmd.web_schema.extractor (10 functions, 3 classes) 📄 src.nlp2cmd.web_schema.form_data_loader (47 functions, 1 classes) 📄 src.nlp2cmd.web_schema.form_handler (9 functions, 3 classes) 📄 src.nlp2cmd.web_schema.history (15 functions, 2 classes) 📄 src.nlp2cmd.web_schema.site_explorer (34 functions, 3 classes) 📄 test_nlp2cmd_commands (18 functions) 📄 test_nlp2cmd_enhanced (14 functions) 📄 test_screenshots.analiza_workflow 📄 test_screenshots.analyze_screenshots (4 functions) 📄 test_screenshots.capture_script 📄 test_screenshots.compare_screenshots (4 functions) 📄 test_screenshots.raport_testu 📄 test_screenshots.test_openrouter_workflow (4 functions) 📄 tools.analysis.analyze_version_detection (6 functions) 📄 tools.analysis.compare_batches (1 functions) 📄 tools.analysis.compare_llm (1 functions) 📄 tools.generation.generate_cmd_from_prompts (5 functions, 1 classes) 📄 tools.generation.generate_cmd_simple (4 functions) 📄 tools.generation.intelligent_command_generator (18 functions, 3 classes) 📄 tools.manual_tests.quick_test_nlp2cmd (1 functions) 📄 tools.schema.cmd2schema (9 functions, 1 classes) 📄 tools.schema.comprehensive_command_scanner (24 functions, 3 classes) 📄 tools.schema.enhanced_schema_generator (37 functions, 3 classes) 📄 tools.schema.intelligent_schema_generator (14 functions, 2 classes) 📄 tools.schema.non_llm_schema_extractor (28 functions, 3 classes) 📄 tools.schema.update_schemas (3 functions) 📄 tools.schema.validate_schemas (1 functions) 📄 tree

Requirements

• Python >= >=3.10
• pyyaml >=6.0- pydantic >=2.0- rich >=13.0- click >=8.0- httpx >=0.25.0- jinja2 >=3.0- jsonschema >=4.0- python-dotenv >=1.0- watchdog >=3.0- numpy >=1.24.0- psutil >=5.9.0- rapidfuzz >=3.0

Contributing

Contributors:

• Tom Softreck tom@sapletta.com
• Tom Sapletta tom-sapletta-com@users.noreply.github.com

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Development Setup

# Clone the repository
git clone https://github.com/wronai/nlp2cmd
cd nlp2cmd

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

Documentation

• 🤝 Contributing — Contribution guidelines
• 💡 Examples — Usage examples and code samples

Generated Files

Output	Description	Link
README.md	Project overview (this file)	—
CONTRIBUTING.md	Contribution guidelines	View
examples	Usage examples and code samples	View